{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.font_manager as fm\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler, LabelEncoder\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Dense\n",
    "from sklearn.metrics import classification_report, confusion_matrix\n",
    "from sklearn.ensemble import IsolationForest\n",
    "import numpy as np\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from tensorflow.keras.optimizers import Adam\n",
    "from tensorflow.keras.callbacks import LearningRateScheduler\n",
    "from xgboost import XGBClassifier\n",
    "from xgboost import XGBRegressor\n",
    "\n",
    "# 加载本地字体并设置为全局字体\n",
    "font_path = r'c:\\windows\\fonts\\STZHONGS.TTF'\n",
    "my_font = fm.FontProperties(fname=font_path)\n",
    "plt.rcParams['font.family'] = my_font.get_name()\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 加载数据集\n",
    "file_path = 'partens.xlsx'\n",
    "data = pd.read_excel(file_path)\n",
    "\n",
    "# 设置 Pandas 的显示选项\n",
    "pd.set_option('display.max_rows', None)  # 显示所有行\n",
    "pd.set_option('display.max_columns', None)  # 显示所有列\n",
    "pd.set_option('display.width', None)  # 自动调整宽度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据集的前几行：\n",
      "   性别  民族 户口所在地   家庭成员及劳动力                         子女在读情况 家庭经济困难情况  \\\n",
      "0  女  汉族    城镇  5人以上，2人以上  本科1人，大中专0人，高中1人，初中、小学3人，幼儿园1人      不属于   \n",
      "1  女  汉族    农村  5人以上，2人以上  本科0人，大中专2人，高中0人，初中、小学0人，幼儿园2人      不属于   \n",
      "2  男  汉族    农村  5人以下，2人以下  本科0人，大中专0人，高中0人，初中、小学2人，幼儿园2人       属于   \n",
      "3  男  汉族    城镇  5人以下，2人以下  本科1人，大中专1人，高中0人，初中、小学1人，幼儿园0人       属于   \n",
      "4  男  汉族    城镇  5人以下，2人以下  本科1人，大中专0人，高中2人，初中、小学0人，幼儿园0人      不属于   \n",
      "\n",
      "          接受学费 了解助学贷款政策 助学贷款帮助程度 助学贷款申请难易度   筹集学费方式 了解其他资助政策  贷款违约处理方式   违约影响  \n",
      "0  8000-10000元     基本了解     没有帮助      有些难度   申请助学贷款     了解较少  建立还款提醒制度  有一定影响  \n",
      "1  8000-10000元     基本了解     没有帮助      有些难度   申请助学贷款     了解较少  建立还款提醒制度  有一定影响  \n",
      "2   6000-8000元     了解很少     很大帮助      比较容易  向亲朋好友借钱   了解多种政策    纳入征信系统   重要影响  \n",
      "3      5000元以下     了解很少     很大帮助      比较容易  向亲朋好友借钱   了解多种政策    纳入征信系统   重要影响  \n",
      "4      5000元以下     了解很少     很大帮助      比较容易  向亲朋好友借钱   了解多种政策  建立还款提醒制度   重要影响  \n",
      "数据集的描述性统计：\n",
      "          性别   民族 户口所在地   家庭成员及劳动力                         子女在读情况 家庭经济困难情况  \\\n",
      "count   200  200   200        200                            200      200   \n",
      "unique    2    1     2          2                             13        2   \n",
      "top       男   汉族    农村  5人以上，2人以上  本科0人，大中专0人，高中0人，初中、小学5人，幼儿园1人       属于   \n",
      "freq    105  200   146        122                             61      174   \n",
      "\n",
      "           接受学费 了解助学贷款政策 助学贷款帮助程度 助学贷款申请难易度   筹集学费方式 了解其他资助政策  贷款违约处理方式   违约影响  \n",
      "count       200      200      200       200      200      200       200    200  \n",
      "unique        3        2        3         3        2        2         2      2  \n",
      "top     5000元以下     了解很少     很大帮助      有些难度  向亲朋好友借钱     了解较少  建立还款提醒制度  有一定影响  \n",
      "freq         84      132       81       150      142      125       116    113  \n",
      "数据集的列名：\n",
      " Index(['性别', '民族', '户口所在地', '家庭成员及劳动力', '子女在读情况', '家庭经济困难情况', '接受学费',\n",
      "       '了解助学贷款政策', '助学贷款帮助程度', '助学贷款申请难易度', '筹集学费方式', '了解其他资助政策', '贷款违约处理方式',\n",
      "       '违约影响'],\n",
      "      dtype='object')\n",
      "缺失值统计：\n",
      " 性别           0\n",
      "民族           0\n",
      "户口所在地        0\n",
      "家庭成员及劳动力     0\n",
      "子女在读情况       0\n",
      "家庭经济困难情况     0\n",
      "接受学费         0\n",
      "了解助学贷款政策     0\n",
      "助学贷款帮助程度     0\n",
      "助学贷款申请难易度    0\n",
      "筹集学费方式       0\n",
      "了解其他资助政策     0\n",
      "贷款违约处理方式     0\n",
      "违约影响         0\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 数据的初步概览和可视化展示\n",
    "print(\"数据集的前几行：\\n\", data.head())\n",
    "print(\"数据集的描述性统计：\\n\", data.describe())\n",
    "print(\"数据集的列名：\\n\", data.columns)\n",
    "\n",
    "# 检查缺失值\n",
    "print(\"缺失值统计：\\n\", data.isnull().sum())\n",
    "\n",
    "# 可视化缺失值\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.heatmap(data.isnull(), cbar=False, cmap='viridis')\n",
    "plt.title('缺失值热图', fontproperties=my_font)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "检测到的离群点（编码后）：\n",
      "     性别  民族  户口所在地  家庭成员及劳动力  子女在读情况  家庭经济困难情况  接受学费  了解助学贷款政策  助学贷款帮助程度  \\\n",
      "0     0   0      1         0       9         0     2         1         2   \n",
      "3     1   0      1         1      12         1     0         0         1   \n",
      "4     1   0      1         1      10         0     0         0         1   \n",
      "6     0   0      1         0       8         0     0         1         0   \n",
      "9     1   0      0         0      10         0     0         0         0   \n",
      "26    1   0      0         1      12         0     1         1         1   \n",
      "108   1   0      1         1       1         1     1         1         0   \n",
      "180   0   0      0         0      12         0     0         1         0   \n",
      "198   0   0      1         0       5         0     0         0         1   \n",
      "199   1   0      1         1       0         1     0         1         2   \n",
      "\n",
      "     助学贷款申请难易度  筹集学费方式  了解其他资助政策  贷款违约处理方式  违约影响  outlier  \n",
      "0            1       1         1         0     0       -1  \n",
      "3            2       0         0         1     1       -1  \n",
      "4            2       0         0         0     1       -1  \n",
      "6            2       1         1         1     0       -1  \n",
      "9            2       1         1         0     0       -1  \n",
      "26           2       0         0         0     0       -1  \n",
      "108          2       0         0         0     1       -1  \n",
      "180          0       0         1         1     0       -1  \n",
      "198          0       1         1         0     0       -1  \n",
      "199          0       0         0         1     1       -1  \n",
      "\n",
      "删除离群点后的编码数据集大小： (190, 15)\n",
      "原始数据中的离群点：\n",
      "    性别  民族 户口所在地   家庭成员及劳动力                         子女在读情况 家庭经济困难情况  \\\n",
      "0    女  汉族    城镇  5人以上，2人以上  本科1人，大中专0人，高中1人，初中、小学3人，幼儿园1人      不属于   \n",
      "3    男  汉族    城镇  5人以下，2人以下  本科1人，大中专1人，高中0人，初中、小学1人，幼儿园0人       属于   \n",
      "4    男  汉族    城镇  5人以下，2人以下  本科1人，大中专0人，高中2人，初中、小学0人，幼儿园0人      不属于   \n",
      "6    女  汉族    城镇  5人以上，2人以上  本科0人，大中专2人，高中0人，初中、小学0人，幼儿园2人      不属于   \n",
      "9    男  汉族    农村  5人以上，2人以上  本科1人，大中专0人，高中2人，初中、小学0人，幼儿园0人      不属于   \n",
      "26   男  汉族    农村  5人以下，2人以下  本科1人，大中专1人，高中0人，初中、小学1人，幼儿园0人      不属于   \n",
      "108  男  汉族    城镇  5人以下，2人以下  本科0人，大中专0人，高中0人，初中、小学2人，幼儿园2人       属于   \n",
      "180  女  汉族    农村  5人以上，2人以上  本科1人，大中专1人，高中0人，初中、小学1人，幼儿园0人      不属于   \n",
      "198  女  汉族    城镇  5人以上，2人以上  本科0人，大中专0人，高中0人，初中、小学5人，幼儿园1人      不属于   \n",
      "199  男  汉族    城镇  5人以下，2人以下  本科0人，大中专0人，高中0人，初中、小学2人，幼儿园1人       属于   \n",
      "\n",
      "            接受学费 了解助学贷款政策 助学贷款帮助程度 助学贷款申请难易度   筹集学费方式 了解其他资助政策  贷款违约处理方式  \\\n",
      "0    8000-10000元     基本了解     没有帮助      有些难度   申请助学贷款     了解较少  建立还款提醒制度   \n",
      "3        5000元以下     了解很少     很大帮助      比较容易  向亲朋好友借钱   了解多种政策    纳入征信系统   \n",
      "4        5000元以下     了解很少     很大帮助      比较容易  向亲朋好友借钱   了解多种政策  建立还款提醒制度   \n",
      "6        5000元以下     基本了解     一些帮助      比较容易   申请助学贷款     了解较少    纳入征信系统   \n",
      "9        5000元以下     了解很少     一些帮助      比较容易   申请助学贷款     了解较少  建立还款提醒制度   \n",
      "26    6000-8000元     基本了解     很大帮助      比较容易  向亲朋好友借钱   了解多种政策  建立还款提醒制度   \n",
      "108   6000-8000元     基本了解     一些帮助      比较容易  向亲朋好友借钱   了解多种政策  建立还款提醒制度   \n",
      "180      5000元以下     基本了解     一些帮助      一般难度  向亲朋好友借钱     了解较少    纳入征信系统   \n",
      "198      5000元以下     了解很少     很大帮助      一般难度   申请助学贷款     了解较少  建立还款提醒制度   \n",
      "199      5000元以下     基本了解     没有帮助      一般难度  向亲朋好友借钱   了解多种政策    纳入征信系统   \n",
      "\n",
      "      违约影响  \n",
      "0    有一定影响  \n",
      "3     重要影响  \n",
      "4     重要影响  \n",
      "6    有一定影响  \n",
      "9    有一定影响  \n",
      "26   有一定影响  \n",
      "108   重要影响  \n",
      "180  有一定影响  \n",
      "198  有一定影响  \n",
      "199   重要影响  \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 编码分类特征并存储到新数据框\n",
    "encoded_data = data.copy()\n",
    "label_encoders = {}\n",
    "for column in encoded_data.select_dtypes(include=['object']).columns:\n",
    "    le = LabelEncoder()\n",
    "    encoded_data[column] = le.fit_transform(encoded_data[column])\n",
    "    label_encoders[column] = le\n",
    "\n",
    "# 使用 Isolation Forest 检测离群点\n",
    "model = IsolationForest(contamination=0.05, random_state=42)\n",
    "\n",
    "# 仅选择数值特征进行离群点检测\n",
    "numerical_data = encoded_data.select_dtypes(include=[np.number])\n",
    "if numerical_data.empty:\n",
    "    print(\"数值数据为空，请检查数据格式或内容！\")\n",
    "else:\n",
    "    # 正确使用fit_predict方法\n",
    "    encoded_data['outlier'] = model.fit_predict(numerical_data.values)\n",
    "\n",
    "    # 提取离群点\n",
    "    outliers = encoded_data[encoded_data['outlier'] == -1]\n",
    "\n",
    "    # 输出离群点\n",
    "    print(f\"检测到的离群点（编码后）：\\n{outliers}\\n\")\n",
    "\n",
    "    # 删除离群点\n",
    "    cleaned_encoded_data = encoded_data[encoded_data['outlier']!= -1]\n",
    "    print(\"删除离群点后的编码数据集大小：\", cleaned_encoded_data.shape)\n",
    "\n",
    "    # 通过索引在原始数据中删除离群点\n",
    "    outlier_indices = outliers.index\n",
    "    cleaned_data = data.drop(index=outlier_indices)\n",
    "\n",
    "    # 输出原始数据中的离群点\n",
    "    original_outliers = data.loc[outlier_indices]\n",
    "    print(f\"原始数据中的离群点：\\n{original_outliers}\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 假设标签列名为 '申请助学贷款情况'\n",
    "label = '助学贷款帮助程度'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "列 '性别' 的整数编码映射：\n",
      "  女 -> 0\n",
      "  男 -> 1\n",
      "\n",
      "列 '民族' 的整数编码映射：\n",
      "  汉族 -> 0\n",
      "\n",
      "列 '户口所在地' 的整数编码映射：\n",
      "  农村 -> 0\n",
      "  城镇 -> 1\n",
      "\n",
      "列 '家庭成员及劳动力' 的整数编码映射：\n",
      "  5人以上，2人以上 -> 0\n",
      "  5人以下，2人以下 -> 1\n",
      "\n",
      "列 '子女在读情况' 的整数编码映射：\n",
      "  本科0人，大中专0人，高中0人，初中、小学2人，幼儿园1人 -> 0\n",
      "  本科0人，大中专0人，高中0人，初中、小学2人，幼儿园2人 -> 1\n",
      "  本科0人，大中专0人，高中0人，初中、小学3人，幼儿园1人 -> 2\n",
      "  本科0人，大中专0人，高中0人，初中、小学3人，幼儿园2人 -> 3\n",
      "  本科0人，大中专0人，高中0人，初中、小学4人，幼儿园0人 -> 4\n",
      "  本科0人，大中专0人，高中0人，初中、小学5人，幼儿园1人 -> 5\n",
      "  本科0人，大中专0人，高中1人，初中、小学1人，幼儿园0人 -> 6\n",
      "  本科0人，大中专0人，高中2人，初中、小学0人，幼儿园1人 -> 7\n",
      "  本科0人，大中专2人，高中0人，初中、小学0人，幼儿园2人 -> 8\n",
      "  本科1人，大中专0人，高中1人，初中、小学3人，幼儿园1人 -> 9\n",
      "  本科1人，大中专0人，高中2人，初中、小学0人，幼儿园0人 -> 10\n",
      "  本科1人，大中专1人，高中0人，初中、小学0人，幼儿园0人 -> 11\n",
      "  本科1人，大中专1人，高中0人，初中、小学1人，幼儿园0人 -> 12\n",
      "\n",
      "列 '家庭经济困难情况' 的整数编码映射：\n",
      "  不属于 -> 0\n",
      "  属于 -> 1\n",
      "\n",
      "列 '接受学费' 的整数编码映射：\n",
      "  5000元以下 -> 0\n",
      "  6000-8000元 -> 1\n",
      "  8000-10000元 -> 2\n",
      "\n",
      "列 '了解助学贷款政策' 的整数编码映射：\n",
      "  了解很少 -> 0\n",
      "  基本了解 -> 1\n",
      "\n",
      "列 '助学贷款帮助程度' 的整数编码映射：\n",
      "  一些帮助 -> 0\n",
      "  很大帮助 -> 1\n",
      "  没有帮助 -> 2\n",
      "\n",
      "列 '助学贷款申请难易度' 的整数编码映射：\n",
      "  一般难度 -> 0\n",
      "  有些难度 -> 1\n",
      "  比较容易 -> 2\n",
      "\n",
      "列 '筹集学费方式' 的整数编码映射：\n",
      "  向亲朋好友借钱 -> 0\n",
      "  申请助学贷款 -> 1\n",
      "\n",
      "列 '了解其他资助政策' 的整数编码映射：\n",
      "  了解多种政策 -> 0\n",
      "  了解较少 -> 1\n",
      "\n",
      "列 '贷款违约处理方式' 的整数编码映射：\n",
      "  建立还款提醒制度 -> 0\n",
      "  纳入征信系统 -> 1\n",
      "\n",
      "列 '违约影响' 的整数编码映射：\n",
      "  有一定影响 -> 0\n",
      "  重要影响 -> 1\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 对每个非数值列进行编码，并保存映射关系（这里重新编码，确保数据格式符合后续模型要求）\n",
    "label_mappings = {}\n",
    "for column in cleaned_data.select_dtypes(include=['object']).columns:\n",
    "    le = LabelEncoder()\n",
    "    cleaned_data[column] = le.fit_transform(cleaned_data[column])\n",
    "    label_mappings[column] = dict(zip(le.classes_, le.transform(le.classes_)))\n",
    "\n",
    "# 打印每个列的编码映射\n",
    "for col, mapping in label_mappings.items():\n",
    "    print(f\"列 '{col}' 的整数编码映射：\")\n",
    "    for original, encoded in mapping.items():\n",
    "        print(f\"  {original} -> {encoded}\")\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 计算相关系数矩阵\n",
    "correlation_matrix = cleaned_data.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '相关系数矩阵（前5个与标签相关的特征已标记）')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Q37B9+/YB2vHSuXLl0t1JXbFihd6cB6CddO3dvAjvhIeHo1KpdGOwQXuntmbNmuzfv5/ixYvr0itVqkRwcDBqtVo3Z8CsWbMwNzcnX758unHd70RGRtK9e3eaNGmCg4MDvr6+rFmzhokTJ3L9+nUKFixIZGQkL168oHPnzrpy69evZ/HixURHRwNQsWJFbt++jZmZGS1bttSNWTcyMtLdXY6rUqVKbNq0iTlz5jB9+nQ0Gg01a9YkPDyc3r178+DBA4oWLYqHh8dHfcePHj3SjRNPzPTp09m4caOuO7uJiQkAOXLkwM/PL9EyRYsW1f1doUIFJk6cSM+ePenZsydXr15l27ZtDB48mCJFiiRavkKFCly9epWDBw/qddEH8PHx4datWzx8+JDz588nKHvhwgWKFi3KxYsXdXfx3d3diYqK4vz584wfP549e/YwadIkevToQePGjalduzZ9+vTRDbvQaDT0799ft8yCBQsyfvx4Dh48iIuLC61bt6Z+/focOXIk0TH877ZbDw8Pzpw5Q+XKlQHo1auX3pwHcb2bc+CdyMhINBoNWbNm1aVFRUVRsWJF+vbty6+//prodwfaXjGVK1fm6tWrlClTBtDenTc1NdXVq2fPnrr8165do02bNrRt21ZXhxkzZnD8+HFOnDiBiYkJjo6OgHYegz179uh6uISFhREdHa37HoYOHUpERATPnj2jaNGievsYaCegfFenuExNTRPd3j913YF2+I+lpSWGhoZkypQJ0O5PLi4uuuELnp6efP/994n2RLCzsyM8PJzXr19ja2ub5PcshBDiv0UaD4QQ4hsVHBzMqVOnMDc3J1euXBQtWpRz584lmV9RFGrWrKk3E/vLly8xMTGhWLFi5MiRQ5eeL18+3YX+OydPnuTy5cscPXqUunXrsmbNGjQaDcHBwXTv3p3g4GDmzZunuxA8fvw4Y8aMwcbGhrx587Jw4UJu3bqFs7MzjRo1YuXKldy6dQs7Ozvy5Mmj+5wdO3ZgbGzM6dOn6d69u25W+9q1a3/0d1O0aFFWrVrF+PHjKVeuHAUKFMDKyoqZM2cmOg9AcjJlykRISEiS7/fp04euXbvi5eWlu4BMTmRkJKampnoX1S4uLgQFBfHq1Svy5s3LmDFjPrgcOzu7BA0HoH2Sw/3791EURW/OgLjlOnfurNf9f/369WTOnJkKFSpw7do1OnTowO7du6lfv74uz7Jly6hRowaurq56DUVr1qxh1qxZnD9/Xhd/3rx5WbVqFaNHj6Zly5ZUqVIFJycnXSPMunXryJ49O8WKFePnn39m4MCBH4y3b9++XL9+Xff/u8aa9u3b6xrNACwsLFi/fj0tW7bUNZT5+Pjo1rufnx/Zs2enf//+dOjQgTt37jBt2jTdegHo2rUrd+7cYcGCBbx48YICBQrg4eGhezIBaIcOBQQEULNmTYyNjblx4wbPnj3j5MmTfP/995ibmycaR1JzHnyIr68vVlZWxMTEfNG6+1jOzs74+/sn2njw7oks774vIYQQ/x+k8UAIIb5RS5Ys4a+//mLmzJk4OztTr1493d3F9u3b6+4ovmNgYMCJEyf00v744w8eP36Mq6srw4YNS3KyNoBhw4YRGhpK7ty5uX37NqtWrcLMzIx+/foxffp0duzYQZ8+fbh48SIA3t7eTJ48GW9vbwwMDJg1axbXr18nT548nDt3Dn9/f/bs2ZNg0sJ3Fyu3bt3CwcEBRVF0F9oTJ07UjeO/evWqbnK7d968ecNvv/3G/v37adq0qW4eh7hCQkLo2LEjCxcu/KgJDPPmzcuRI0eSfD9+z4MPadeuHY6OjnoNBI8ePcLCwgIbG5tk10Fy4t6Zj/8Ei3cX2IMGDSIgIECvoejZs2d4eXnRokULABYvXsy8efPIkiULlSpV0qt36dKlOX36NHny5MHPz48JEyZgbm5OqVKlaNq0KVZWVrqGhZo1a1KoUCGGDBmiawj6+eef8fDwwMLCgqpVq5IxY0Z69uypu6M+a9Ystm7dCmjXb9ynIMyePVsvpq1bt9K5c2eGDx/O999/r9eAEF+2bNlwd3cHIGfOnLreCi1atKBTp06MGzcOjUZDhgwZANi+fTutWrWievXqWFhYUKpUKbp3787GjRtp0aIFJiYmTJw4kYMHD+qWqygKy5cvZ+HChdSrV+/DK+wTvVun8+bNo1evXsDnr7v41Gq1rqfPO4aGhhgaGnLhwgXKly+v996zZ8/Ili1bkg0kQggh/psMPpxFCCHE1yYiIoJTp07Ru3dvXdqOHTvIly8foB224O7urruwSUx4eDg7duygWbNmuLm56Z58kJRTp06xceNGIiMjad++PeXKlSN//vxERUUxe/ZsKleurHdntkePHuzYsQMTExMOHDjAsmXLMDIyYu/evZiZmVG+fHnGjx9P+/btE/28ffv2UbJkSVxdXbl58yYAgwYN0sV14MAB/vzzT70yGTJkoEOHDlStWhVra2vc3Nx0r7CwMHr37k29evV4+PAhq1evTjbedxo2bIinp2eCJ1y806dPH9zd3Vm3bp0uLSYmRu+xd3FVq1aNOXPm4O3tDYC/vz9Dhw5l6NChn91wADB8+HC9eOO+vL29OXbsGKdPnyY2NpacOXPqyi1YsID169frPtvW1pYTJ04wcuRIveVnzZqVIkWKMHDgQAIDAzl37hxjx47F2dmZzp07c+TIEbJkycKhQ4dYvXo1o0ePxszMjAcPHnD8+HF+/vlnAObPn6/XEDBo0CBatmwJaIctvFu/H5rYcu3atTRq1IgWLVowePDgJL/v5Li5ubFhwwbCwsIAdJMMtmjRgs2bN3P8+HHdBbKRkRGBgYEJnj7wjkqlok+fPh/9+M/Pdf/+fd3fn7Pu4ouIiGDatGkJhh29c+rUqQSTWZ48eZJmzZp9YSRCCCG+NdLzQAghvkF79uxh6dKlmJmZffYy+vTpQ4kSJfjtt99QqVSMHz+eMWPGMHDgQN24/bguXLhAy5YtadOmDcWKFdOlN2/enOLFi1O9enVcXFw4cOCArqdAaGgoHTt2ZPz48Vy8eJHKlSvrHg95+/ZtYmNjCQgISPBZDx48wMfHh+3bt9O6dWvmzJmTIE/FihUTjevdBXN8nztswdXVlQoVKrBx40batWun915STwjYvHkzLi4uukaPuLp164aRkREtWrTAzMyMiIgIOnfuTLdu3T6pXvEl1fij0Wh0F4YLFizA0NCQ/Pnz697r1KmT3t3oixcv0qJFCxwcHBIsq1q1apw5cwZra2saNmwIaHsYODo6cvv2bQIDA5k3bx7+/v507txZl+fdBfXly5fp0KEDhQoV+qJY169fz8WLF7l+/TqWlpaUKlWKFi1asGjRIr05EN6JP2zhHTMzMypXrsy1a9cAdNumoaFhoo0EFStW1OVNLydOnMDPzw9bW9vPWnfvxMbGolaradu2LfPmzWP58uWJft7Nmzfx8vLSrbPXr19z+PBh/vnnnxSOTAghxNdOGg+EEOIb9O4uLqA3h8G7/xMbtvBOeHg4f/75J1FRUWzZskV3ob969Wq+++47li9fzu+//84PP/xAuXLlUBSFBQsW4OXlxZkzZ/j3338ZN24cx44d03WNLlasGHv37sXNzY3w8HDd3drcuXNTtmxZtm3bRr9+/di5cyf9+vUDtI8T3Lp1Ky1btqRfv34MHTqUDBkyoFarGTFiBOvXr8fY2Jj+/ftjZGSU4OLaw8ODrl27cuzYMSwtLRN8D/EpivLBPElZtmwZLVq0oGXLlnoNNu96I+zZs4cTJ07ohg0EBwfTrVs3zpw5k+jFbKdOnejUqdMn1UGj0XzW3fXLly8zZ84czp49y+PHj6lVq5buItnAwIC8efMC77ejiIgIfv/9d5YuXcr58+d58OCBrht+165d6dChg97yLSwsMDY25tatWzg6OhIbG8uFCxfYt28fT58+pVOnTmzYsAFra2u9MfeJbbfJDVt4l2fOnDls2rSJEydO6Cb6HDx4MI0aNaJAgQJ06NCB2rVr4+bmpmucKV68uK4XzuDBg6latSoxMTHs3r2bWbNmcevWLTJnzqz7LuKKjY3V/V2mTBl69erF33//zYEDB5KcLDAmJobY2Nhkt7dJkyYRFhamG77yrtfDoUOHMDU1JWPGjJiammJoaEhsbCxRUVFcvHiRO3fuMHToUBYtWvRF6+6ff/5BrVbTr18/7OzsMDY25smTJ7i7u2NjY4OiKDx69Ijdu3djZGTEsmXLAJg8eTJ//fWX3qSfQggh/k+k8dMdhBBCpDBnZ2fdowejoqIUe3t75cmTJ7r3bWxslJMnTyoxMTHK+vXrlT59+igXLlxIdFm+vr5KgwYNlKZNmypHjx5V1Gq14uXlpfj4+Ojl27Nnj+Lo6KicOnVKL/3x48e6v2/duqWMGjVKmT9/vhIeHq4oivYRgw0bNlS2b9+uy7d27VqlSJEiyqBBg5RXr14pM2bMULy9vfWW6+fnp7i4uCjly5dP8Ai7efPmKYqifezkjz/+mOT3lDNnTsXT0zPJ9z/k9OnTysyZM/XSatasqRw4cEBRFEVp3bq18vfff+veu3fvnpInTx7d4/++VJEiRZQjR458Vlm1Wq2ULl1aqV27doLv9p0ePXooy5cv10tbsWKF4uLioly/fj1B/iVLlug9RrBq1apK1apVFVdXV6V06dJKtWrVFCcnJyVHjhyJPnKxXbt2ysaNG3X/16hRQ9mxY4fu/1q1ainTpk3T/e/u7q7069dP2bJli+7xlfFjHDBggOLi4qLs2bNH8fPzUxRFUUJCQhJ99Og7165dU/LkyZPk40zLly+vPHz4UC/Nz89PyZUrl7J169ZEy9SrV0+ZOHGiUqVKlUQfu/ju5ebmprc+Bg0apOTIkUMxMDBQgASvjBkzKq6ursqdO3f0Pu9T152iKEqfPn2UcePG6f6/e/euUqpUKcXc3Fz3+aampkqRIkV0j4K9fv260rt370S/fyGEEP99KkX5zNswQgghvkpxu6kDugkH37x5Q0RERJo9Wi3+o/ViY2Px9PSkXLlyafL5qSH+dxv/f/H5YmNj9eYLUOJMlAnaSfriztXwXxcdHY1Go0GlUukmL0zssZdpKf46EkII8f9FGg+EEEIIIYQQQgiRLLldIoQQQgghhBBCpKCbN28yceJEHBwcePTo0QfzL1iwAFdXV6pUqUKlSpW4dOlS6lfyE8mEiUIIIYQQQgghRAq6d+8eRkZGvHz58oN5V65cyfjx4/H09MTOzo7Dhw9Tq1Ytbty48VUN2ZNhC0IIIYQQQgghRCpQqVR4e3sn+kSfd/Lnz0+HDh0YOnSoLu27776jYsWKTJs2LQ1q+XFk2IIQQgghhBBCCJEOHj9+jLe3NzVr1tRLr1mzJsePH0+nWiVOhi0IIYQQQgghhBDJiIqKIioqSi/N1NQUU1PTL1ruixcvAMiWLZteur29Pc+ePfuiZac0aTwQX2yfceH0rkKKq6e+l95VSHHn7oSkdxVSnJVJaHpXIcW9irRO7yqkuALGD9O7CinOK7pAelchVRgZaNK7CilOxX9vdGY2s1fpXYUUt/9OvvSuQoqztUzvGqS8EvZ+6V2FFJdF45PeVUgVDoVLpXcVPsvXfF1x6e9fGDVqlF7aiBEjGDlyZIos38go4aW5RvN1/S5L44EQQgghhBBCCJGMwYMH06dPH720L+11AJAjRw4AfH199SZH9PX1JVeuXF+8/JQkjQdCCCGEEEIIIUQyUmKIQmJy585NgQIFcHd3p3Tp0rr0o0ePUqtWrRT/vC8hEyYKIYQQQgghhEh3KmPVV/v6HGFhYQBERkbq0qKjo/nhhx/YvHmzLm3EiBHMnTsXf39/AA4dOoSXlxd9+/b9gm8z5UnPAyGEEEIIIYQQIgUNGDCAXbt2AVC/fn0aNWrEtGnTiI6O5vbt23qTIbZp04awsDBq1qxJ5syZMTEx4dixY9jb26dX9ROlUhTlvzeTkEhTX/PEJp9LJkz8NsiEid8GmTDx2yETJn4bZMLEb4NMmPhtkAkTvy77MxZJ7yokqW7E3fSuQrqTngdCCCGEEEIIIdKdgdHnDQ8QaUPmPBBCCCGEEEIIIUSypPFACCGEEEIIIYQQyZJhC0IIIYQQQggh0p3KWO5tf81k7QghhBBCCCGEECJZ0ngghBBCCCGEEEKIZMmwBSGEEEIIIYQQ6U6etvB1k54HQgghhBBCCCGESJY0HgghhBBCCCGEECJZMmxBCCGEEEIIIUS6UxnLsIWvmfQ8EEIIIYQQQgghRLKk8UAIIYQQQgghhBDJkmELQgghhBBCCCHSnTxt4esmPQ++QRs2bKBv376EhobqpS9btoyePXsSHR39yctUFIUJEyZw7dq1lKqmEEIIIYQQQoj/CGk8+Ab5+vpy6dIlMmfODMDmzZsJCwvj6dOn3LlzBxMTE7389+/fx8HBgSpVquDm5oaLiwtly5blxYsXujwqlYqhQ4eiVqvTNBYhhBBCCCGEEF8/GbbwjTIw0Lb7qNVqfv31V+bOnZtkXhMTE16+fKlrLFi5ciVTp07FwcGBSZMmER0dzbBhw1CpVJiZmaVJ/c2LO2Jf1428f/zGP1Vb8ubx82Tz5+7yC7l/b05s+BswMOB23/EEe9zQvW9sbUmx6UMwL1IAlYGK4Cu3ud13ArHhEakdyv+F134+rFk8mZDgQGLU0ZRwrkDT1t0wNEz6EBIWGsz6ZdN5+cwbjUYhT4HCtOrQB7MMGXV5ggL8ueZ5luMHtlCz3s9UqdEgLcLhwL5dHDm4D1OzDCgaDb936YFjoSJJ5v/nzCm2b9mAqakpUVFRtGrTHtcy5XTvP/J+yKrli4iICCcqMpJ8+QvSoXN3Mme2SItw9Lz2e8mGJRMJDQ4kJiaaYk4Vafxrj2TXVXhoMJuWT+HlM28URSF3/iK0aN9Pb129oygKM0Z1pWARFxq27JqaoQCwe/9B9h06ipmZGYqioXvHDhQpVDDJ/C98fLhw6TI79uyjT89uOJcsoXsvKiqKTj37YGtjg0r1vlvkS19fan3vRvvWv6RqLHEF+L1kw9KJhAYHEBMTTVGnijRu9ccH19PmFVN4+eyhbj01b9dfbz3NGtOdGHWUXrn8hZz4qfWfqRbLO6/9XrJuySRCgwNQq9UUd65Akw9se2GhwWxcPlW77Wk05M5flJYd+urF9ODOVfZvW05UVCShwQGUrlCDhi276H4HUz+myYQEBxCji6n7B2PasHyaLqY8+YskiOnUkR1cvuBORHgokZER1Gn8GxWr1U31ePbt3cvBgwcxMzNDoyh06dyZQoULJ5n/5cuXXLp4kd27d/Nnr16UKlVK7/3w8HCWLl2Kv58fgYGBZM2alc6dO5PdwSG1Q9ETGviCk9vH8CY0gNjYaHIXqkSFur0xSGY9+b+4h8fRhURFBBMW7EuOAmX5rn4/TMzMdXm8rh3i+uk1oFIRFRFC4dINcP2+Y1qEBEDw6xfsXzeG8NAAYtXR5C9eiRpNko9Lo4nF68Zp7ngeIiTQlzZ9l+u9r456w4mds3l8/xIqlQEqAwNqNO1D3sLlklhiyji0fwfHDu3B1DQDiqKhXac/KVioaJL5z591Z+fWdZiYmhIdFcXPrTviUrq87v1b16+weP5UrKxs9Mp1/qM/OXLmTrU44tu1/xD7Dh/DzMwUjUbhj07tKOKY3G+UL+c9LrN9z376/dEV55LF9d6/fusOy9ZsIFajIeJNBC6lStClbesENwb/y+RpC183aTz4xuzevRuAJ0+esHz5clxdXTE0NKR169ZMmTJFl2/IkCG0b98eR0fHRJdjZKRd9d7e3mTJkiX1Kx6PeaF8KDGxmDnYfTBvzt9+ouDALpwp34RovwCy1KxE+f3LOOXSgMjnvgCU3jyHsAfenK3YDACnlZNxWj6Ryz+n/gnzf51aHc2UkX9Qya0eDZq3J0atZtroP9m8ag6/dPgryXJzJw0km0NuRkxdjaIoLJ45giWzRtJz0GRdngB/XyLCQ4gID0uLUAA4duQgWzetZ9rshVhZWXPl8iVGDh3ArPnLyJIla4L8169eZu6sKUyZMZ8cOXPxyPshQ/r3YvSEaRR0LERQYABDB/5Fq986ULd+IzQaDfNmT2PG5PEMHzMxzeIC7bqaObo7FavVp26z34lRq5k1pgfbV8+iefu+SZZbMKUf9tnz8PeUdSiKwvLZw1gxZxjdBkxLkPfo3nXcvX6RgkVcUjMUAA4ePc76LdtZMGMK1laWeFy+ysDho1k6dwZZs9gmWualjy9qtZqQ0ITb1AWPy/Tv9Qcli78/YQ0KDmbUhKn80qxJqsURn3Y9daOCW33qNu1IjFrN7LHd2b5mFs3bJb2eFk7pi71DHoZMXo+iKKyYPZSVc4bRNc56srSypV3PMWkRhh61Oprpo3rwnVs96r3d9maM7sHW1bP5uX2fJMvNn9yfbA65GTZlLYqisHTWMJbNHk6PgVMBCAkKYN+25XTrNwlTswyEBAUwul8rzDJkpPZPbVM9pmmjevCdW33qN+tAjFrN9NF/sGX1bFp+ICZ7hzwMn7LmbUzDWTZ7BD0Gan+j3Q9vRx0VSe+hswDwunudycO7YJ7ZipKu36VaPEeOHGHTpk3MnjMHKysrLnt6MnToUObPn0+WrAmPfQA+Pj7a/SkkJNH3Fy1cSL369SlcuDCKojB3zhxGjRrFwkWLUi2O+GJjotm16HeKlGlEmZpdiY2JZvfiTvyzdyqVGw1KtEx4yCsuHZ7H9z+PwzRDZqIjw9izpAsnNg/nx9+mA+Dz6CoXD83lpx6ryZDJmsjwILbPbY1pRkuKV2ie6nHFqKNZM/13nL5rRJV62rjWzujEka1T+fHnxOMCiFVH4//yX9TRUcTGJuxNunvVUMKC/Gg7YDUmphl5ePsc62d2ofuYvVhlyZEqsZw4up8dm9cyaeZSLK2suXb5ImOH9WHavFXYZkl4HnjjmicLZk9iwvRFOOTIzeNH/zJsQA9GjJ9FgYLvG7saN/uV6jVTv9EtKQePnWDd1h0smj4JaytLLl25Rv/hY1k+Z9pH/EaFJnjP+/ET+g0bzajB/ahYtjTR0dEMHTeZeUtX8lf3zqkdjhAfRYYtfGN27twJQO7cudmyZQtdu3bF0NCQevXqsXLlSjw9PalSpQoTJkygUaNGxMbG6sq6ubnh5ubGxIkTURQlnSLQ8tlxmIczln84I+D4dw+eLNlEtF8AAP5HzxJ291/y9WoHgE2VsthULYvX+AW6Ml7j5pO9yY9kLlEoxev+/+bC6cMEvfbjx0atADAyNqZek7Yc3b+ZsNDgRMvcvenJvVuXadC8A6AdFtOoxe94nj/B00deunz5CxWnTuM22GSxT/1A3tq8YQ0/1qmPlZU1AC6uZcmZKze7d2xNPP/GtXxXqRo5cuYCIG++/JQuW56tm9YBcOLYYTKZm1O3fiNA2yuofcduXL3iwb9e99MgovcunTlI0OtX/NCwNaBdV7WbtOf4gY2EJ7Gu7t3y4MEtT+o1195NU6lU1G/eiSvnj/Ps8QO9vM8fe3H7yjmss2RL3UDeWrtxC/Vr18LayhKAMq7O5M6Vk6279iRZprSzEy2aNCJjxgwJ3suTOxfFiugfE6bMmsfvv/2KmZlpylY+GR5nDhIU8IofGrQB3q6nn9pz4sCGJNfT/VsePLjtSd1mnQDteqrXvDNXLhzjebz1lB4unj5E4OtX1Iqz7dVp2p5j+zcmeZy4d9OT+7c8qR9n22vQvBOX42x7wYH+1G/2O6Zm2vVpYWVD/kIlefIo9fctbUx+/NjwV11MdZu249j+TcnGpD32/R4npo54xonp/i1PfmjQSlemYJFSuJSrxvlTB1I1ng3r11Onbl2srKwAcC1dmly5crHj7XlFYlxcXGjarBkZMybshQRQuEgRCr/tuaBSqShXvjxPnz5F/RlzL32u+1f2ER7si3O19gAYGplQukYnrp9ZR2R4UKJlvG8ep1SVNphm0A7/NDEzp0zNLvx7/TCxMdq6v/D2JFeh78iQSftbYZbJitxFKhPg45XoMlPazYv7CA30pWKt93FVrtOJi8fW8SYsKMlyxqYZ+K727xQsUTnBe+GhAdy8sA+3Rj0xMdWu0/zFKlKgRGXOHV6RKnEAbN2wkh9qN8Ty7e+uk2s5cuTKy96dmxPNv23jKipUqoZDDm0Pgjx5C+BatiI7Nq9JtTp+jtUbt9Lgxx90v1FlXZzIkysHW3btTbJMaedS/PxTw0T3qV0HDlOiaGEqli0NaHsOd2nXhv1HjxMQGJQqMQjxqaTx4BsSERHBiRMndP+PHTsWe3t7Ro0ahbu7O+3ataN06dKcPn0aRVG4ffs2hoaGaDQafvzxR3r06EG+fPlYtWoVs2bNSsdIPl6G3A5kzJ8L/+P/6KX7HzuHbfUKANhWK0f4/UdEPvPRvR/+4BFvnrzQ5RGf7+5NTwoWLYWJyfuLq6KlyqDRaLh/+2oSZS5j75Ab26zvLzKz5ciDTRZ77ty4lNpVTtIrXx98fV7i5FJaL93JuTQ3rl1JkD8mJoa7t2/h5OKqn9+lNDevX327TF/ss2XXe9/c3JzMmS149PDflA3gA+7f9KRgEWeM46yrIiXLotFoeHDncpJl7BzyYBOnQcDeIQ/WWbJxL866ilGrWb9kAq27DcVAlfpdCn1fveKl7ytcnfS7Sbs6leTq9Zuftcw8uXJiaGio+//MuQtoNBpKFEt6yEpquHfLgwLx1lPhkuWSXU/3bnlglz3x9XT3xkVdWmhwADNHd2XqsN+ZPqITR3avJjYm9eeyuXfLA8eiTnoxFX237d1OuG8B3L3lgX28bU97nMjGnevabS9XvkIULOKke//xw7t4e92i+o/NUimSuPXz/IyYPLF3yJ1ITPa6mIqULJugnKlZRsLDEm+QSAm+vr74+Pjg4uysl+7s7My1q1c/e7n16tXT/R0eHs6Rw4dp0LAhxmnYxfq510Wy53XFyPj9espZsAKKJpYX3p6JlslkYYeNfQG9NGPTjGg0MURHanstZcvjxD3PXTy9rz3/CA18wfN/L1Hiu5apFIm+x/cukstRP658RbVxPX6QeFwfEuSvHSJqnTWXXrqNXW58n979/Momw++VD698X1LSuYxeeknn0ty8nvB4FxMTw707NynlpJ+/lFOZBPn37NjEmGF9GNK3CzOnjOLxo7T7zfV55cdL31eUdiqpl+7qVJIrn/kb5fPqFdmz6d9MyeGQjZiYWB4/ffbZdf3WGBipvtqXkGEL35SpU6diZ/e+e1fp0qUJCgqiXbt2yZbLnz8/Bw8eZOLEifj5+VGmTBmWLVtG5coJW6W/NqZvhzVE+fjrpUe98scsRzZdnihfvwRlo1691uURny8owB9La/3ud4aGRpibWxDw2jeJMn5YWiXssmdpZUPA61epUs+PERDwGgAra/0xklZW1rz2T7gNhYQEExOjTjR/WFgokZFvsLO3x9PjAoqi6MbRBwYEEBISTHBwUOoEkoSgQD8srfWHIRkaGpHJ3ILAJL73pNaVhaUNgXHW7871c6n2YzNss2ZPkDc1+AcEAmBjbaWXbm1thZ//6y9evlqtZtGK1Qz6q+cXL+tTBQcktZ4s9b7zhGU+vJ6at++PXfbcGBgYEPjal+WzhvDv3Wt6QxtSQ1CAH5bW+l3f3297ycSU2LZnZZOgzI3LZ9m8ciav/V7Qot1fOBZL/WEzQQF+WCWxPyV1HNPuTwmHAlpY2er2wao1G+u9F6NWc+vqearUbJQyFU9EQIC25561TbxjmbU1/v7+iRX5JH379MHb2xvX0qVp3br1Fy/vU4SHvCKThf62Z2BohGlGS8KCfBItk6/E9wnSvG+dILNNDjKYa78jh/xlcGs2igMr/8TaLj+REcH80GoS1nb5Uj6IRIQGvcLcMmFcGTJZEhKYeFwfYmWrnYvi9atHWNi8Pz969ew+4aEBn1/ZZAS81m5fCX9HbXjtn3A/Cg0Jevu7q39ssLS2Jvzt766ZWQZy5yvA8LEzsLK2QaPRcNr9MEP6dmH0pHl6QxtSy+u3+1SC3ygrK/xef95vVDY7O7wfP9FLe/hI+39gcOo1LgrxKaTnwTekTZs27Nq1S/f/y5cvKVq0aII5CyIjI/nuu++4evUqfn5+VKhQATc3N+bNm8e1a9eoXLkyXbp0YeHChZ9ch6ioKEJCQvReakXzxbF9iBITkyBNZaCK835sgvfj5xGfL6nJwRRN0sNf4t7h1S+T+tvLhyRWt+SG8iQdi8L3P9QmIjyczRu0Y7bfRESwdtVSzMwyJDhZSguGBp/+vRt8YF3du+lBSNBrylWp8+UV/ESJffeaFDjmnP7nPEaGhhQvmra9Dt5JasKz5LZDA4MPl8mWI69uIkFrW3s69BrPlQvHePro3hfU9uMkuZ8kF9NHlinpWokxs7cwZvZWzh7fzZbVadN7Lun6ffr+lNR2u3XtHAyNjKgVZyhDajFMZJLJlBjGOG36dDZt3kzePHno3asXERFpO1lx0vvGxx0rfJ/c4MaZdVRpNFiXFhr4knueu6nTbg61284kX/Hq7FrUgbseu5JZUspK+jjxecfATBa2lKrQkKNbp+kaC66c3kbAqyeYW6Tu/Fef+rub9O+StkzmzBa631gDAwOqfV+bytVqsm3jqhSo7cf71LiS81O92ty594CDx9wBCAgMYtvufUDCRgoh0ov0PPiG5Mun39rt4eFB9uzZcXNzA+DRo0cEBwdTu3ZtTExMWLNmDdOmTeP8+fMAVK5cmZ49e1KhQgXy5s1Lu3bt6N27t96s4x8yYcIERo0apZf2i8qGXw1T50fn3YSIJvZZdH8DmNpl4c3bYQqRz19hXTHhXShTO1tdHvFxnj7yYu2S9xNvZs+RB2vbrAQH6beix8bGEBYWkuRcBda2WfG6ez1BenBQQJrObxCfra12Ow0KDNSbHDEoKBDbRCYMs7S0wsjImKDAQL30oKBAMpmbkyFjRjKQkUnT57Bu9XIG9vkDaxsbmv/cmpMnjlGocNIzSX+pZ48fsHHpJN3/9g55sbKxIyRY/+5RbGwM4WEhSc5TYG2blX/vXUuQHhIcoCvz4LYnr14+Yeow7dj04KDXnDuxm9DgAH7tMiSlQtKT5e0d0sCgIL2JpwIDg7BLgUle9x8+RuWK5T+c8Qs9f/yAjcveT5xp75AXK1s7QhLZp8LDgrGxTXz/sLKxS2Y9acsoikKMOlqvm721rT3mFtb4Pn9Errwpczfu2eMHrF/yfuLTbDnyaLe9RGMK0dUvPisbu0SPEyFxjhNxe/QA2GbNTuNfujNzTE8a/dwFE9OUeULQs8cPWBfn2JctRx6sbewICUp8f0ry2GeTFa+7iaynoNd6Qxne2bdtOZcvuNN/1AIyZsr8hVEkzdZWuw8FBgXpTY4Y9PYJCZ8r7voxNjamdZs2HDp0iJPu7tSpm/IT2fm/uMepHWN1/1tnzYe5pT0Rofq9JzSxMURFBJPZ6sM9pfxf3GPfsu5U/Wko+UvW1KUfWdefUpVbk6tQRQAqNxqEQ/4yHF7XH0fnOhgapdzQDN9n9ziw/n1cttnykdnKnvCQhHG9CQ/G0vrze4A1aDeWU3sXsGFWV0xMM1K8XF1yFnAms/WHJ7D+HDa22u0rKChQb3LEoKCARCdLtHj7uxscb98LDgwkUybt7y5ob2aZmurPVZMvfyEO7tue0iEkKout9jcqIP5vVLz/P0WeXDmZOWE0azZtZc/Bw2Szt6NBnR84e+ESBfLmSZF6fwtUhnLj72smjQffsAYNGtCgQQNGjBgBwMiRIzlz5gxHjx5NkNfPz4/r169Tq1Ytbt26hbGxMebm5lSsWJEyZcokyJ+UwYMH06eP/izTx21KJ5H7y0U+fUm412Nsq5Yj5PItXXqWGhXxP3IWgNfu53Ec2h2TrDa6SRUzOeYlQ24H/I+cSbW6/RflyluQweP0Z8n+x30/65ZNJyYmRveUjjvXPTA0NKJw8cS7DhctWZZdm5YREhSAxdvHKPk8f0yAvy8lXNJvHoqsdvZky+7AzRtXKej4fuK8a1c9cXZJuB8YGhpSrERJbt64yneVq77Pf8UTJ+f3232OnLkZMGSk7v8jh/ZT0smZnLlS73FROfM40m/MUr208yf3sWnZFGJi1BgZGQNw98YlDA2NKFTMNbHFULhkOfZuXqK3rnxfPCbQ34diztp1Vb9FF+q36KIrM7hLXSpWb5iqj2q0t8uKQ/ZsXL1xi0IF349NvnztBqVdnJIp+WGBQcFcvXGTdr+m/tjlHHkc6Tt6mV7a+ZP72Lx8MrExagzfrqd7Ny5iaGiEY7HEj6dFSpZj35bFhAQHYGEZbz05aS9uTh3eysXT++k/9v3EZ28iwggPC8bWLuUenZczjyMDxi7RSzvnvo8Ny6bqbXt3PrDtFS1Zlj3xtj3tccKH4s7amEb+9TONfumGa/nqunIx6mgURUNMjDrFGg9y5nFk4NjF8WLaz/pPjKlIybLs3rw00WNfcef3xz5FUdi8aiZPHt5j2ORVZLaw5sCO1dT56bcUiSc+Ozs7smfPzo3r1/WewnT16lVcXBOP5UO2bd3KnTt3GDpsmC5NURRiYmKIVqfOPBtZHArTpIf+pHn3PHZzauc4YmPVGBpq19Mzr/MYGBrhkD/585vnXhc5vnkYNVtNJHfhSty/so/seV3JbJ0d/xf3sLDNqZc/e/7SxKqjiI2JTtHGA/uchWk3QD+u6+d2c3DDOL3jhPcdbVx5Cn38eVt8RsYmfP9TL77/qRcAEaGBuO+aw+9DNnx+AMnIamePffYc3L5+RW84wY2rnji5JJz/w9DQiKLFS3HrxhUqVHLTpV+/5kGpOPn/6NiCnn2HUSrOXAqvXr3Ezi5thtbZZ82KQzZ7rt24TeF4v1FlnD//N6pYYUcmDH/fA2b52o3U+r4amc3NkyklRNqRYQv/J+bNm0fXrl2xtrbm0qVLZM+uPbi2a9cOJycnvacyJMfU1BQLCwu9l7Hq8zYjw0za1mODOLOcq4yNKXdgOdmbve8e/WDsPPJ2b42xrXaW3iw/VCZjgTy6pzUEnvUk4NQlHP/urivjOLQHz9btIuxO2k5Y919UrtIPWFracGSv9sRCrY5m77aV1GncGvPM2hmG79zwZPzgToSGBAFQqJgzhYu7sGuz9qJJURR2bV5KxWp1yJErf4LPiIp8g1qdNrNz/9zqN/bv2UnI2/GDVzwv4fPiBY2baB+9NXXiGHbvfP/kheYtW3Pa/TgvX2gnmvJ++C9XPC/xc6uEJ/lRUVEc3LebXds30/OvAWkQjb4y39XCwsqG43HW1YHty/mx0W9keruu7t30YPLfHQgN0famcCzqQqHipdm3RXvhpCgKezcvpny1ejjkKpDo52g0ms/uNvspfmvZnF17DxAcrH1M3KXLV3jx8iXNGzcEYMzk6WxLZFZrRVGIjIwiOjrxC5h7D7xQFIX86XQnR7uebDm2bz3wfj3VatQ2znq6xJSh7Ql7u54KFnXBMf562rKI8lXfr6f8hUryyOsWVy4cB7R3yTctn0xx5+/I51gyfjVSVNlK2m3vaJxtb/+2FdRu/JvuOHH3pgcTh8TZ9oq5UKi4K3u2LNHFtGfzYipUq4vD2+NEMacK7NqwgDcR2knswsNC2Lt1KRWr1UvVO/XamH5IIqY2ejFNGPK7LqZCxVwoXNyVPVuW6mLavXkJFavV1R37It9EMH/yAEzNMtJ35HwyW1gTGxujW0ZqafXrr+zZs4fgt8c+T09PXrx4QZMm2seUTpwwgZ07diQop92fIomO9wSFkiVL4uHhwdU4Ey5u3rQJlUpF1apVSSsFnWuTMXMWrp1aDWgf3eh5dDEu1X/HLJMVAM+8LrBtzq+8CXv/Hd8+v5VLRxbwU/dV5C5cCQC/p7fIZKm9G+7oXIfzB2bpJlCMUUdxdvdkCpSqhYlZ6l/IFS9bm0wWWbhwdPXbz4/mzP7FfFf7dzKYa+N6dPcCKyb+SkRowm0nOiqCmA/8rj779yprZ3Tkh+b9scqSM9m8X6L5L+04sG87IW/nAbrqeQGfl89o8JO2AXfGpBHs2/X+yQtNf27LmZNHeflCO0ngo4deXPW8QLOW7XR5ipZwZsPqxURHRwHg/e99ThzZT5Of26RaHPG1/aU5O/YdIPjto0wvXr7K85c+tGjcAIDRU2awdde+BOWS2qfiCgsPZ+3mbVy8fJVu7dMuJiE+RHoefIPejaWKeyc4vosXLzJ48GD27t2Lt7c3J0+eZODAgTRo0IDz589TpUoVQDvUYeDAgVy6dInY2FhM0miG5CIT+mPfoAYAZXcuxHfPMe4MmISBiTGZixbELOf7LqHP1+3C0Dwj5Q+tIDY0HE20mgs/tiP61fsusp4//0mJWcOodH4bKAqB569wd9CUBJ8rPp2RsTF9R8xm9aJJXPrnOJrYWJzLVqHRzx11eUKDA3j+zJvINxFktrAC4I+Bk1i7ZAoj+/6GSgUFCpeiRVv9yenOnTzI4b0bePTvHV77veTS2aMMHLOA1FS9Ri0iI98w/O9+ZMiQESMjI0aNn6obO/n0yWPdYxwBSpZypvuffZgyYRRmZhnQaDQMGjaaPHnfDyPatH4NVzwvoqDg7FKGKTPm67pWpiUjY2N6DZ/PukXj8Tx3FI0mhlJlqlG/xfvnQ4cGB/Dy6UOiIt+Q2UIbZ5f+U9i4dBLj+rcCVBQoXIqmv/VO9DMO7VxF4Gtfzp3Yg1vtFgkm/ktJP3zvxpvISPoPG0WGDBkwNjJiytiRurGfj58+1T0i650tO3dz+Jg7wSEhTJ+7gFLFizGkn34s973+xS5rlkQf55gWjIyN+XPYfNYvHsflc0eJ1cRSqkxV6jd/37vj3XqKjIzA/N166jeVjcsmMm5AK1RA/sJONG3TW1cmV74i9Bq2gN0b53N0z1oi34RRuERZWnVKnaEl8WPqM2IeaxZqt73Y2FicylalYbxt78VTb71tr/uAKaxfMonR/X5FpdJue81/66Ur07xtb47uXc+M0X9gZGxC5JtwylSsSa1GqT8pn/bYN5fVCyfgce4YsbGxOJetSsMWnXR5QhKNaTLrlkxmVL/Wb2MqSYu3ManV0Ywb2I7QkEDCQoOZclM7a35QgB/Vav2UqvHUqFGDyDdv+HvIEDJkyICRkRHjJ0zA2lpb7ydPnmBlba1XZvv27Rw7epSQkBBmz5pFiRIlGDBwIACFChdmwsSJrF2zhk0bN/LmzRvss2Vj+owZumWmBUMjExp2Xor7tpH8e+0wGk0M+YpXp2ytHro8b8ICCPD1Qh0dTgas8TiykAsHZ5MtrwuH1/UHQBOrJiY6kkoG2obfqk2Gcvn4UnbMb4uxSQZiY6LJWagiZWqmXo+r+HG17rOUfWtGctvzMJrYGAo5Vadaw/dxhYcG4PfCi+iocDJmtn4baxCb5v2B77P7RL0JY9m4n3Fr/CcFimsbSF48usnBDeOJjYkmS7b8NGw3lmy5U2+IHUC172sTGfmG0UP/0v3uDh83U/e7++zpIyyt3s8RVLyUC117DmDGpOGYmWVEo4ml/9/jyJ33/c2HHr0Gs3n9coYP/AMDA0OMjIzoN3gsRYqVSvD5qaVW9Wq8eRNJ32Gjyfh2n5o2Zvj736gnzxL8Rm3euYdDx08SHBLK1HmLKFW8KEP7vj/mzViwhH+9H2FoYEil8mWZM2kMxsbGaRbT18BAhi181VRKSsyUI9LU9OnTefHiBfXq1Usw/0B8NWrUIDQ0lGHDhpE5c2Y2btzIrFmzWLFiBUWKaCcK02g0uuELc+bM0U229bH2Gaf+rLZprZ469ScXS2vn7oSkdxVSnJVJaHpXIcW9iky7k+60UsD4YXpXIcV5RSfeK+NbZ2SQ/hOapjQV/73TnGxm6ffUmtSy/07aPMUgLdlafjjPt6aEfcInE33rsmj+m/NjORROu4aUlHTG6fOGUqWFytcSf5zy/xPpefANijvnQPXq1ZPJCYGBgXp3AFq2bEnLlvrjfA0MDLhw4ULKVlIIIYQQQgghxH+GNB78x6Vl10EhhBBCCCGE+FzymPWvm0yYKIQQQgghhBBCiGRJ44EQQgghhBBCCCGSJcMWhBBCCCGEEEKkO5Wh3Nv+msnaEUIIIYQQQgghRLKk8UAIIYQQQgghhBDJkmELQgghhBBCCCHSnYGhPG3hayY9D4QQQgghhBBCCJEsaTwQQgghhBBCCCFEsmTYghBCCCGEEEKIdKcykGELXzPpeSCEEEIIIYQQQohkSeOBEEIIIYQQQgghkiXDFoQQQgghhBBCpDt52sLXTXoeCCGEEEIIIYQQIlnSeCCEEEIIIYQQQohkybAFIYQQQgghhBDpTiXDFr5q0vNACCGEEEIIIYQQyZLGAyGEEEIIIYQQQiRLhi0IIYQQQgghhEh3KgO5t/01k7UjhBBCCCGEEEKIZEnjgRBCCCGEEEIIIZIlwxaEEEIIIYQQQqQ7lYE8beFrplIURUnvSgghhBBCCCGE+P92uUbl9K5CklyPnUnvKqQ7GbYghBBCCCGEEEKIZMmwBSGEEEIIIYQQ6c7AUIYtfM2k54EQQgghhBBCCCGSJY0HQgghhBBCCCGESJYMWxBCCCGEEEIIke7kaQtfN+l5IIQQQgghhBBCiGRJ44EQQgghhBBCCCGSJcMWhBBCCCGEEEKkO5WB3Nv+msnaEUIIIYQQQgghRLKk8UAIIYQQQgghhBDJkmELQgghhBBCCCHSnTxt4esmPQ+EEEIIIYQQQgiRLGk8EEIIIYQQQgghRLJk2IIQQgghhBBCiHRnYCjDFr5m0vNACCGEEEIIIYQQyZLGAyGEEEIIIYQQQiRLhi0IIYQQQgghhEh38rSFr5v0PBBCCCGEEEIIIUSypPHg/8SCBQu4ceOGXtqzZ89Yu3YtMTEx6VQrIYQQQgghhBDfAhm28A2yt7cnX758mJmZJXgvODgYQ0NDli1bhpOTky69SpUqlC9fHi8vL7Jnzw7A8uXL2bRpE99//z0ODg5pVn8hhBBCCCGEiE9lIPe2v2aydr5BwcHBjB07Fnd39wSvXr168fz5cwoVKgSg61VQokQJfvnlFzQaDU2bNiU4OJiFCxcybdo0DAwM8PHxoUmTJuzcuTMdIxNCCCGEEEII8TWSngf/QaampmTIkAGAgwcPMmXKFK5evYqdnR2//vorAI0bNyZnzpwsXbpUV87AwIBdu3bRsGFDDKTVTwghhBBCCCHEWypFUZT0roT4NGZmZhQuXBhra+sE7/n4+BAeHs7Tp0/10suXL0/37t359ddfuXz5Mlu2bKFUqVIcPXqUFStWEBMTw8OHDylSpEhahSGEEEIIIYQQOneb10rvKiSpyJbD6V2FdCeNB98gMzMz9u7dS82aNQGoU6cOzs7OTJgwgfPnz/P8+XOaNm2qV8bZ2ZmYmBjevHmDlZUVHh4elClThpiYGKysrDAwMMDX15dt27ZRtGjR9AhLCCGEEEII8X9MGg++btI3/T8ga9ashISEAFChQgUsLS2pW7cu4eHhujwhISEsX76cihUrUr9+febOncvcuXMpWLAgbm5unDhxgtu3b0vDgRBCCCGEEEKIBGTOg29U3759dcMWnj17RkBAALdu3dLLs27dOjp37gyAn58f+fLlIzQ0FAsLC8qWLUuFChUICAjQPWlh4sSJhIWFMXbs2CQ/NyoqiqioKL00U1NTTE1NUzI8IYQQQgghxP8ZlYEqvasgkiGNB9+oadOm6YYtuLu707JlS06cOIFKlXCHCwwMxMLCgqxZs+Ln58eFCxfYvXs3KpWK8+fP4+Pjw4YNGwBQqVQ8fPiQ/PnzJ/q5EyZMYNSoUXppI0aMYOTIkSkboBBCCCGEEEKIr4YMW/gPqFKlCubm5qxZs0Yvfd++fQCcP3+e2rVrA9oJFXv06MHJkyfZuXMn1tbWtG/fnj179uDu7s6JEyeSbDgAGDx4MMHBwXqvwYMHp15wQgghhBBCCPGNWbBgAa6urlSpUoVKlSpx6dKlZPMvWrSIKlWqUK1aNVxcXFi5cmXaVPQTSM+Db1R0dDTHjh3j9OnTFChQgFmzZvHLL79gZWVFw4YNUavVnDp1inr16rFnzx46dOhAcHAwz5490w1TmDVrFn379qVKlSq0b9+ezZs3f/ARjTJEQQghhBBCCJEa/ivDFlauXMn48ePx9PTEzs6Ow4cPU6tWLW7cuEHOnDkT5N+8eTObNm3i4MGDZMqUicePH1OhQgVy5syp623+NZCeB9+YlStXEhUVxa+//sqJEyfo2bMnbdq0oV69eixbtoy2bdtSu3Zt+vbti4+PD48fP8bBwYGwsDDs7OwoUaIEBQoUYMOGDTx69IjevXtTvnx5AGrVqsXDhw/TOUIhhBBCCCGE+HaNHj2aLl26YGdnB2ivs4oWLcqMGTMSzX/q1CkaNWpEpkyZAMiTJw/fffddgjnt0ps0HnxjDAwMaNSoEbdu3WLs2LHY2trq3mvevDn//vsvVapU4fz58+zZs4djx47x999/8+OPP3LgwAH279/PtGnTMDY2ZsWKFRgZaTufLF68mJCQEBYuXMiLFy/SKzwhhBBCCCGE+GY9fvwYb2/vBD0GatasyfHjxxMtU6FCBWbOnImnpycA165dw9vbm19//TXV6/spVIqiKOldCZF2goKCyJw5M4aGhuldFSGEEEIIIYTQefBr3fSuQpJyL9/xUU+dO3fuHN999x3e3t7kzZtXlz5v3jxGjhyJn59fosufP38+ffv2pVy5cvj4+LB3714cHR1TPI4vIT0P/s9YWVlJw4EQQgghhBBCfIIJEyZgaWmp95owYUKS+d/18I5Lo9EkmvfGjRscOHCAc+fOsWjRIipVqkTZsmU5cuRIitU/JciEiUIIIYQQQgghRDIGDx5Mnz599NISm0g+R44cAPj6+upNjujr60uuXLkS5NdoNDRs2JDNmzfj7OwMwPLlyylVqhTdunXDy8srBaP4MtLzQAghhBBCCCFEujMwVH21L1NTUywsLPReiTUe5M6dmwIFCuDu7q6XfvToUWrVqpUgf0hICI8ePSJ//vx66VWqVCE4ODhFv98vJY0HQgghhBBCCCFEChkxYgRz587F398fgEOHDuHl5UXfvn0BaNmyJTNnzgS0w8pr1apF//79dXMqBAcHM3ToUNq3b58u9U+KDFsQQgghhBBCCCFSSJs2bQgLC6NmzZpkzpwZExMTjh07hr29PQC3b9/W/Q2wZcsWRo0aReXKlcmYMSORkZE0b96cv/76K71CSJQ8bUEIIYQQQgghRLp72K5+elchSflX7k3vKqQ7GbYghBBCCCGEEEKIZEnjgRBCCCGEEEIIIZIlcx4IIYQQQgghhEh3KgO5t/01k7UjhBBCCCGEEEKIZEnjgRBCCCGEEEIIIZIlwxaEEEIIIYQQQqQ7lYEqvasgkiE9D4QQQgghhBBCCJEsaTwQQgghhBBCCCFEsmTYghBCCCGEEEKIdCfDFr5u0vNACCGEEEIIIYQQyZLGAyGEEEIIIYQQQiRLhi0IIYQQQgghhEh3KgO5t/01k7UjhBBCCCGEEEKIZEnjgRBCCCGEEEIIIZIlwxaEEEIIIYQQQqQ7edrC1016HgghhBBCCCGEECJZ0vNAfLFzd0LSuwoprmJRi/SuQorbZ1w4vauQ4t6cuZPeVUhx1hmj07sKKc5QpaR3FVKcmdF/bz0BZDEOSO8qpDjvMIf0rkKKMzLQpHcVUlzuTC/TuwopTqMYpncVUpzCf++u8DW/nOldhVTRvILcIxYpTxoPhBBCCCGEEEKkO3nawtdN1o4QQgghhBBCCCGSJY0HQgghhBBCCCGESJYMWxBCCCGEEEIIkf5U/715Nf5LpOeBEEIIIYQQQgghkiWNB0IIIYQQQgghhEiWDFsQQgghhBBCCJHuVAYybOFrJj0PhBBCCCGEEEIIkSxpPBBCCCGEEEIIIUSyZNiCEEIIIYQQQoh0pzKQe9tfM1k7QgghhBBCCCGESJY0HgghhBBCCCGEECJZMmxBCCGEEEIIIUS6k6ctfN2k54EQQgghhBBCCCGSJY0HQgghhBBCCCGESJYMWxBCCCGEEEIIke7kaQtfN1k7QgghhBBCCCGESJY0HgghhBBCCCGEECJZ0niQjIcPH/Lrr79y6tSpVP+sU6dOcenSpQTp27dv5/nz50mW27FjBwMHDiQoKOizPjckJASNRvNZZYUQQgghhBAipagMVF/tS0jjQbLy589P8eLFqVu3brL5/v33X8LCwhJ97+HDh9y4cSNBuq+vL+fPn+fhw4d06NCB9u3bM3PmTJ4+fQrAgwcPaNKkCR06dGDatGlJfvbq1as5ePAg0dHReunxGwQURaFSpUrs2rVLL33Lli04OjoSEhKSbIxCCCGEEEIIIf5/yYSJ8Wg0GipUqMAff/yBhYUFWbNmpUaNGuzcuROAjRs3Eh0dzYoVK7C0tARg586djBkzBmdn5wTL8/LyIiQkhOPHj1OmTBldemhoKBUrVmTt2rWMHz+ebNmyAdCiRQuMjY1xc3Nj0KBBbNmyBUNDQwBiY2N1fwP4+/uzf/9+Nm/ejJ2dnS79xIkT9OrVi0OHDpE9e3YAVCoVFy5coEiRIgBcuXKFwoULY2hoSL58+bCwsEi5L/ETvPbzYc3iyYQEBxKjjqaEcwWatu6GoWHSm2ZYaDDrl03n5TNvNBqFPAUK06pDH8wyZNTlCQrw55rnWY4f2ELNej9TpUaDtAjnP8m8uCP2dd3I+8dv/FO1JW8eJ90TBiB3l1/I/XtzYsPfgIEBt/uOJ9jjfQOasbUlxaYPwbxIAVQGKoKv3OZ23wnEhkekdih6gvxfsGfNWMJDXhOjVlOw5Hf80Kx3stueRhPL/eunuXXpMMEBPnQYuDxBnjlDfyJDxsx6acVK1+S7H39L8RgSE+D3kk3LJhAaHECMOpqiThVp2KpnsnGFhwazZcVkfJ57oygacucrStN2/XX71Hn3PRzfuyZBXI//vcngKZuwd8ibmiER4PeSDUsnamOK0cbUuNUfH4xp84opvHz2EEVRyJ2/CM3jxAQwa0x3YtRReuXyF3Lip9Z/plos77z282H1oimEBgeiVkdTwqU8zT7i2Ldu6XRePnuERlHIm78wrX7/K9Fj37H9W/mh/s9UqVE/1WMB2LdvL4cOHsDMzAyNRqFzly4UKlQ4yfwvX77k0qWL7Nm9i55/9qJUKSe99x95e7Nx4wbCwsLw9/enZMmStO/QgYwZM6V2KHoC/F+yedl4wkICiFGrKVKqIg1++cD+FBbMtpWTtPuTRkOufEVp2m4Apmbv19OV80c4eWA9qFS8CQ+hTOW6/NCoQ1qERIDfSzYum6h3jGj0kfuTz3Pt/pQrX8L9CcD7wQ2O7VmL74tHGJua0bxdP/I5lkzVePbt3cvBgwe1256i0KVzZwoV/sC2d/Eiu3fv5s9evShVqpTe++Hh4SxduhR/Pz8CAwPJmjUrnTt3JruDQ6rGEdf+fXs4dPAApmZmKBoNnbp0S3Z/8nn5kkuXLrB79056/vlXgv0pNjaWy54enD1zGn9/P8aOn5TaISRKG9d+zN7G1bFL94+Ka8/uHfT8sw8l48UVGhrCkkULePr0CYqiUKBAQTp27kaGDBlSOxQ9Qa9fsHf1WMJCXxOrVlOwxHfU/IjziQfXT3Pz0mFCAn1oPyDh+QTAgxtnuXBsPcEBLzE2NqNF96lY2abdtihEfNJ4EI+BgQGenp4YGxtTokQJAKpXr657387OjqNHj2JsbKxLMzQ0xMrKCnd39wTLW7lyJV26dKFo0aJ66Rkzan9wa9euja2tLX5+fmTNmhUTExOyZMlCp06dEixr+/btzJkzB4O3s5A+efIEExMTZsyYwYwZM3T5NBoNFhYWTJs2jalTp+otw9TUFIABAwZQtmxZChUqBGh7JvTr1w8bGxv+/vvvj/6+voRaHc2UkX9Qya0eDZq3J0atZtroP9m8ag6/dPgryXJzJw0km0NuRkxdjaIoLJ45giWzRtJz0GRdngB/XyLCQ4gIT7xHiPh45oXyocTEYuZg98G8OX/7iYIDu3CmfBOi/QLIUrMS5fcv45RLAyKf+wJQevMcwh54c7ZiMwCcVk7GaflELv+c+hds78Soo1kxpSMulRrh1rALMTHRrJrSmUObplG31cBky/m9eIg6OhJNbEyiebLnLkKzzhNSq+rJUqujmTOmK+WrNaB2047EqNXMHdeNnWtn0rRtvyTLLZ7aB3uHPAyatB5FUVg1529Wzx1K5/7TAXjmfZchUzfrlbl4ah8FirqkesOBWh3NzNHdqOBWn7pvY5o9tjvb18yiebu+SZZbOKUv9g55GDJZG9OK2UNZOWcYXQe878llaWVLu55jUrX+iVGro5kyoieVqtfVHfumjvqTzavm8kuH3kmWmzNxENly5GbktFVvj30jWTJrFD0Hvb8QeO3vS3hYKBERaXfsO3LkMJs3bWTW7LlYWVlx+bInQ4f+zfz5C8iSJWuiZXx8XqJWqxPt9RYQ8Jr169fRq/dfZMqUiYiIcEaOGM6c2bMZOGhwaoejo1ZHM29sF8pVbcCPTToRE6Nm/riu7Fo3kya/Jb0/LZ3WB7vseRgwYQOKorB67t+snvs3nfppf6e9719j/5YF9Bq5HPPMVoSHBTNjeDsymVvyXY2mqR7TrDHdqFCtPnXe7k9zxnVnx9pZNGub9P60aKp2fxr89hixcs5QVs0dRpf+7/ens8d2cvrIVlp0GED+QqWSXFZKOnLkCJs2bWL2nDnabc/Tk6FDhzJ//nyyZE1q2/NJctsDWLRwIfXq16dw4cIoisLcOXMYNWoUCxctSs1QdI4eOczmTRuYOXseVlbWXL7swbChg5k3f9EH96fQkNBE31er1Tx9+oSo6ChiYmNTs/pJOnrkEFs2bWBGnLiGDx3E3PmLPzuuCeNG45AjJzNmzUNRFKZPncSMaZMZMnREaoaiJ0YdzcopHXGu1Ai3Bm/PJ6Z25vDmadT55cPnEzHqSGKTOJ84vmMeT7yuULfVIOxyFEytEL46Mjzg6ybDFhKhbb0sQMGCBRO8bGxssLOz0138fwyVSkWmTPp3S941PmzYsIGlS5dSsWJF+vfvj4mJCWZmZrp8np6eLFmyBIDmzZtz6tQp3N3dOX78OFZWVkybNg13d3e6dOlCrVq1OHr0KKdOneLMmTO6hoPYOD8U//77L8ePH8fQ0BBXV1f8/Py4e/cuAwcO5OLFi/j6+n729/apLpw+TNBrP35s1AoAI2Nj6jVpy9H9mwkLDU60zN2bnty7dZkGzbV3aFQqFY1a/I7n+RM8feSly5e/UHHqNG6DTRb71A/kP85nx2Eezki8RTw+x7978GTJJqL9AgDwP3qWsLv/kq9XOwBsqpTFpmpZvMYv0JXxGjef7E1+JHOJQile96RcP7+fkEBfKtXW1svIyISq9Ttx/sg6IsKCkixnYpqBKnU7UKhUlbSp6CfyPHuQoIBX1GjQBtDuU7Uad8D9wAbCk9in7t/ywOu2J7Wbdga0+1SdZp25euEYzx8/AKBC9UZ6Zfx9n3Hy4EbqNuuSitFoeZzRxvRDnJhq/9SeEx+I6cFtT+o20zbCqlQq6jXvzJU4MaWnC6cPExj/2Ne0LUf2JXfsu8y9W5dpqHfs64DHOf1jX4FCxan7U2ts0/DYt2HDeurUqYuVlRUArq6lyZUrFzt37EiyjIuLK02bNkv0t/TC+fM0bNhI97uZMWMmWrRoydmzZ1CroxPkTy2eZw8QFPCK7+trew0ZGRnzQ+PfOXlgPeFhia+nB7c98LrtQe0m7/en2k07c+3iMZ4/uQ/Av3evUKRkBcwzWwGQydySYs6VePn031SPyePtMaJmnP3px8Yftz/Vafp+f6rbTH9/8n3xmN0b59Fz6Pw0azgA2LB+PXXqxtn2Smu3vR1ve4smxsXFhabNEt/2AAoXKULhtz0XVCoV5cqX5+nTp6ij02bb27BhLbXr1MPKyhoAV9cy5MqVm507tidZxtnFlSZNmycZk5mZGU2aNqd06bKpUuePsTGJuHbt2JZkmeTiunHjGjdvXOfnltrjqEqlouUvrTn3zxkeeXunThCJuH7h7fnEj+2At+cT9T7ufKJy3Q44lkz8fOLhnYvcuLCfNn8t+L9qOBBfP2k8iEdRFBRFSfUuT++GH3Tt2pWOHTuSJUsWnJycCA8PZ+PGjbi5ueHk5ESTJk0YPnw49+7d05V9+fIlxYoVw97eXtdD4d69e1y4cAEjo4SdSdq1a4ebmxuxsbEMGTKExYsXExsby/Dhw9m8eTNFihRh8uTJODo6Ym1tnapxx3X3picFi5bCxMRUl1a0VBk0Gg33b19Nosxl7B1yY5s1my4tW4482GSx586NhBNOirSTIbcDGfPnwv/4P3rp/sfOYVu9AgC21coRfv8Rkc98dO+HP3jEmycvdHnSgvfdi+RxdMU4zraXv1h5NJpYHt3z/KJl+z67z4rJv7N4zK+smNwRj5PbUBTlS6v8Ue7fukSBIs56cRUuWQ6NRoPXncuJlnlwywO77HmwyfJ+n7J3yIt1lmzcu3kRgJx59Rt2tq6cyvf1W2MUpwdWarl3yyPJmB4kEdO9RGPKg3WWbNy9cVGXFhocwMzRXZk67Hemj+jEkd2riY1Rp14wb925cRnHeMe+Yh849t256Uk2h9zYZn3fKPD+2OeR2lVO0itfX3x9fHB2cdFLd3Z24dq1a5+1TGsbG3LlzqWXZpYhA7GxsUREpN3wpge3PchfWH/bK1RCu+39m+T+dAm77Npt7R17h7xY22bj/tv9Ka9jSS6e3svd6+cB7dCIB7c9qFyrRSpGo3X/M/an+8ntT29jOnloM0VKlsP9wAZmjurC6L+asnreCN6kYg8YX19ffHx8cIk3ZNTZ2ZlrV69+9nLr1aun+zs8PJwjhw/ToGFDjE1MPnuZH+v9/uSql+7s7ML1a1dT/fNTy7u4nOIdJ5y+IK6b16/jkCMnWbO+7xWZI2dOsmTNyvVrV76kup/E+07S5xOP73/++cS5w6sp4lKdQ5umsmxCW2YPrs+BDZOJiUm7BlQhEiPDFuKJjIwEtD0CDh06lOD9f/75J0UaFlQqFSYmJgku9kNCQujduze9e/cmb968TJo0iZYtW+rluXPnDvfu3ePw4cOoVCq9ZQIsW7YMJycn3RwLa9asAcDIyIhffvmFq1evcu/ePaZMmcKbN29Yu3YtoO3WFnd5qS0owB9La1u9NENDI8zNLQh4nXgPiKAAPyytbBOkW1rZEPD6VarUU3wc07fDGqJ8/PXSo175Y5Yjmy5PlK9fgrJRr17r8qSFkMBXZLbS7yZpaGhEBnNLQgJ9kij1cZp3mYxdjgIA+L14yIa5vXn13CvZ4RApJTjAD0vrhHFlMrckKIl9KjjwFRZWWRKkZ7a0TbTMvRsX8H3xCJcKP6RMpT9AG5N+/d7FFJhUTAF+CY4tABaWNnplmrfvj1323BgYGBD42pfls4bw791rekMbUkNQgB9WNgljMje3IMA/8eNYYsdLeHvsS6JMWngd8BogQcOztZUV/v7+iRX5oAoVKiZIu3jhPPb29lhaWn3WMj9HcKAfllafuO0F+pE5sf3J6v3+VLBoaVp2GsbSaX2wz5GXiLAQfvtjXKoPAQLtvmGRxP6U9DHCD4tEfnctLG10ZbzvX+e130tcK/5AveZdUKujWTjpL1bNHU7XAdNTPhAgIEDbw83axkYv3cra+rO3vbj69umDt7c3rqVL07p16y9e3sdIan+yskqZmNJLgC4u/XVl/QVxvQ54negNLysra/xfp913FRqU9PlEcMDnn088/fcaL5/cpWWPGdT9dTBvwkNYPqkdhzdPp26rQV9a7a+bgdzb/ppJ40E8QUFBqFQqhg8frjd84J22bdvqusd9iaioKGJjY3FzcwPg9u3bxMbGEhwcrDf5YXyPHz+mVSttFy0vLy/atGmDSqXi0aNHhIWF4ebmxoULFzA1NeX69evkzp1br/wPP/xA7969qV27tt7ki6BtuEgs5vj1jorSn2AsOjpK7w7ap0hqMhlFk/Sd2vj1fl9GHjn5NVBiEo7dizt+TYlJfLxlWo9xM0hyO/qyXgLvGg4Asjrkp2HbESwd34bqjbqSIZPlFy37YyQVl0ZJev9I8rtIpMzhnSuo6NZQN/dKWjBI6jiRTI8OA4MPl8mWI6/ub2tbezr0Gs+gzj/y9NE9cuVNehKvlGBg8PHf+ZeUSSuJHZdTql73799j79499O+f+g1w8X3KvvFOkr9Rb7e9QH8fLp3aS6d+08maPQ/u+9cxd2wXfu74N+Wqpv7kvkn+7iazP32oTHhYMDnzOOJU1g0AY2MT6rfoyqQhbbSNMNaJj2lPCYaJHItSorfXtOnTUavVbNq4kd69ejF7zpxPGrL6JVJzf0pPKR3X13I+mPSx+fO3wzdhwbhU+Ymc+bUTjmbIZEHVeh3ZvvRvarcckKa/wULEJY0H8Tx69IgcOXIkeRGdNYkJeD5VUFAQefPm1U2yuGXLFurUqcOQIUPIly9fomWePn1Kx44dmTdvHs2aNaNkyZIcO3YMIyMjRo4cydWrV3VPhUhK/LkXAMLCwli4cCGnT5+mWbNmyZafMGECo0aN0kvr0H0QHf9IfhKrp4+8WLtkiu7/7DnyYG2bleCg13r5YmNjCAsLSXKuAmvbrHjdvZ4gPTgoQOY3SGfvJkQ0sc+i+xvA1C4Lb94OU4h8/grrii4Jypra2erypDSfp/fZu2as7v8s2fNhYW1PWHDCbe9NWDCWtp/fAyI2Rg0qld6JtkPeoiiKgr/PY3IVSLmxwM8fP2Dzsom6/+1z5MHKxo6QRPap8LBgvW7UcVnZ2PHwXsLu5aHBr7GO91289nvB3RsX+Llj6kxa9/zxAzbGjckhL1a2ScdkY5v4Pm9lY8e/icQUEhyA9dvjhKIoxKij9bqaWtvaY25hje/zRynWeKA99r2fuDZbjjxY29oREhygl++Dxz6br/PYZ2urvYsdGBikN+lZYFBQkhPWfQpv74eMHjWSLl27UfG77754eUl5/uQ+W5bH2/as7QhNan9K4jih3Z+uJkgPDXqN9dvtdeWcQVSr3YrCJbVDtZr81o8CRVxZNWcQrt/VxsgoZYYDxd+fsuXI+4FjxGfsT29jsrDKQtZs+kNNbN4OLwx87ZsqjQe2ttreEPG3taC3T0j4XIqi6HphGhsb07pNGw4dOsRJd3fqfODR3V/q3f4UFBiotz8FBQWmyP6UXmySiCvwC+KytbXl7u1bCdK139WHJ3j+HD5P77N3bZzziWxvzydCkjifsPn88wlzyyzY2uvfALS0zY46OpI3YUFksrBJoqQQqUsaD+I5f/489et/+qOtfHx8dL0I4qcn1vL46NEjXOKM/WrevDk+Pj74+fnh5OSUIH9UVBT79+9n586dhIZqZ51VqVSJznGQnPXr1ydoQMiYMSNOTk5UqVLlg8sbPHgwffr00Uu74h2VRO73cuUtyOBx+jMV/+O+n3XLphMTE6P73DvXPTA0NKJw8YQXmABFS5Zl16ZlhAQFYGGlPXD6PH9MgL8vJVzSbsy8SCjy6UvCvR5jW7UcIZff/6BnqVER/yNnAXjtfh7Hod0xyWqjm1Qxk2NeMuR2wP/ImVSpV7Zcheg4ZLVe2tWzu9m7djyxMWoM356oP7x9AUMjI/IWLpPYYj7K0W2zCQn0pXnX90/+CPR7jkplgJVt9s9ebmJy5HHkr9HL9NIunNrL1uWT9eK6d+MihoZGOBYtnehyCpUox/4tiwkNfk1mS+3JuO+LRwT6+1DUSb/7+OV/DpPFLid22fOkaCzv5MjjSN94MZ0/uY/NScVULPGYipQsx74tiwkJDsDCUnuc8H3xmEB/H4q9jenU4a1cPL2f/mNX6Mq9iQgjPCwYW7uUewyW9ti3UC/trPsB1i2dpnfsu33dA6Nkjn3FSpVJ+tjnXD7F6vup7OzsyJ49OzduXMfR0VGXfvXqFVzjjdv+VDduXGf2rJn07dsfF1dXTp50p1ix4inWiB9XjtyF6D1Sf2LYi6f2snXlJL1t7/7NixgaGVEwiW2vUIlyHNi6KOH+9NqHIk7axo8Xjx+QxT6nXrkCRV1RR0cTo45OscaDxPanC6eS2Z+SOEYULpH0/vTuGJErb2F8Xz7WK/fq5VOABLGmFN22dz3+tncVF9fP2/a2bd3KnTt3GDpsmC5NURRiYmKIVqf+fCjamBy4fuM6BR3fzzVz9eoVXFwSXz/fgndx3bhxTS+ua1ev4OLyeb+5pZxc2Lh+LUFBgbpJGJ8/e4a/nx8urqnzXWXLVYiOgxOeT+xbl/LnE9lzFyHg1VO9tNe+TzDNYP6fbzhIyyHU4tNJn5d4Nm7cmOhjEpOjVqvJnj077u7uCV6DBg0iJiYGTbwuVMePH+e33/Sf+7527Vrq1auXaLc4U1NTunTpkmjPgfiio6P5888/CQgIwNfXlzZt2uDo6EjVqlUpX748vXr10uV1cHCgUaNGVKxYkV27dnHx4sVklqyth4WFhd7rc4cslKv0A5aWNhzZuwHQPkJq77aV1GncGvPM2u7dd254Mn5wJ0JDggAoVMyZwsVd2LVZe0KkKAq7Ni+lYrU65MiVP8FnREW+SdPZuf+rDDNpt0kDs/frWmVsTLkDy8nerI4u7cHYeeTt3hpjW+0PeZYfKpOxQB7d0xoCz3oScOoSjn9315VxHNqDZ+t2EXYn9Wcaf6dE+dqYW2bhn8Pa+UBi1NGc3LuYynU6kNHcCtDOdLx4bGvCQwMTlI+KjCBGnbDRLG+RMty4cJBnD28AEB0VwYENkyn3/c8JxkSmhtIVfySzlS3H960HtPvUoR3L+KFhWzK93afu37zEtKHtCAvRxlWwqCuOxUqzf+tiQLtP7d+yiHJV65E9VwG95T96cJMceRxJS2W+q4WFlS3H4sR0YPtyajV6H9O9m5eYMrR9nJhccCxemn1b3se0d8siyleth8PbmPIXKskjr1tcuXAc0N4p2rR8MsWdv0v159KXr1QTS0tbDu/ZqItp79ZV1PlJ/9g3Lt6xr0gJ/WPfzk3L+M6tDjlyJzz2Rb6JQB394YbdlNCq1a/s3bOb4GDtbP2enh68fPGCn5poHzs4aeIEdu5M+OQFRVGIjIwiOjrhRdmhQwfZsGE9EyZO0l0Ienk9wMYm7U6aXb/7EQtLW07sXwdo19Phncuo2UD7WEXQTlI6Y3hb3bZXoIgrBYuV5sC299vewa2LKFulPtlzFtAtd+/GObrJBNXRUexYMw3n8jUxy/Dh3/gvUbpiLTLH258O7lhOrYb6+9PU+PtTvGPEvnj7U82GbXhw+zK3rmonzI2OesOeTfOpUK2+7qkSqaHVr7+yZ8+eONueJy9evKBJkyYATJwwIdGnfmi3vUii4z1BoWTJknh4eHA1zoSLmzdtQqVSUbVq1VSLI65fWrVm355d8fan5/zURNszdNLEcezamfDJC+9iSu6pEG8i36TZUyPia9mqtd5x4rLnJV6+eEHjt3FN/kBc8ddV8eIlKFGyFJs2rNPl27hhLW7Va5A7d+o0cCfm3fnEuTjnE6cSOZ9YMi7x84noJM4nqjboxLVze3j5+A4A4aGBnN67hO9q/ZYgrxBpSaWk1TTg34Bdu3Zx5coVRo4c+UnlDh8+THR0dKI9Fry9vYmOjtY99gcgJiaGrl27snTpUl3as2fP+OGHHzhw4AB58+YFIG/evEyYMIFffvlFb5nPnz8nZ86cdOzYkQcPtI9JejfnQYkSJQgMDOT69eu4urpy6dIl/vzzT2rXrq1XvwYNGlCiRAk6duyIoaEhGo2Gx48f07RpU9asWaM32/CHnLuT+LOSP8ZrPx9WL5pEaEgQmthYnMtWodHPHXWtjhfPHGHVokmMnLqarPbau4HhYSGsXTKFl88eo1JBgcKlaNG2p14jxrmTBzm8dwPeD26T2cKKnHkKMnDMgkTrkJiKRS0+O6av1T7jz+uGXWRCf+wb1MC8cD7CvR7ju+cYdwZMwjBTRtxuHeThzOV4z1ypy5+7yy/k7vQzsaHhaKLV3O47ntCb93XvG1lZUGLWMDIVzg+KQuD5K9wdNAVN1Kef0Lw5c+ezYgIIev2S3StHEREWSGxsLEVcqvN94+66be/GhQPsWjmKHqO3YZ01BwARYUGsm9UTn6f3iXoTRs78JanZtCcFS1TSLfe251FO7V2CoZExkW/CKV7mB9wadklyTGR81hm/7MQuwN+HjYvHEhaq3adKlqlG3eZddHF5/nOIjYvHMWjyBmzt3sUVwqZlE/B9/ghUKvIXKsVPbf7S69IPMKx7XcpXq0/9n7vH/9hkGaq+7GcmwN+H9YvHERYSRKwmllJlqlI/TkweZw+xfvF4hkxZT5a3MYWHhbBx2UR8nj9CBeQv7ETTNr31Yrp/y5PdG+drT07fhFG4RFkat+qJiWnyc78AmBl92Xp67efLqoUTCQsJJjY2BudyVWgc59h34cwRVi2cxKhp+se+NYun8vLZI1QqFQULl6RFu4THvkN7NsY59hVg0NiPP/ZlMQ74cKZE7Nu3lwMH9pMxQwaMjIzp3LkLed8OwevRvSulSjnRpWs3Xf4d27dx7NhRvL29yZIlCyVKlKT/AO2cBhs3bmDd2jUULVpUN65XHRNDVFQUc+fO/+S6eYd9fk+SQH8fNi4dS3io9jhRsnQ16jTrqltPl/85xMalYxk4caPe/rRl+QR8XnijUqnI5+hE49bv96eYGDVHdi7nuscJTE0zoFZHUbhkBWo36YSJ6cdNyGxk8PljugP8fdiweBxhoUHExmr3p3px96d/DrFh8XgGT9bfnza9259UkL+QE00S7E8e7Fw3m1hNLCgKhYqXocHP3T9qfwLInenlZ8Wzb+9eDhw4QIYMGTAyMqJzly664Z/du3WjlJMTXbt21eXfvn07x47G3fZKMGDg+/k07ty5w9o1a9BoNLx58wb7bNlo37492bJ9ehd0jfJxx/349u/bw4ED+8iQIaM2ps7ddPvTH927ULKUE126vj8O79i+lWPHjvLI+yFZsmSheImS9B/wfnhZaGgI48aMwvuRN28iInAsVJjWrX/7rDv0Cp9/V3j/vj0cPLBXF1enzt11cfXs3pmSpZzo3LWHLv/O7Vs5duzI27iyUrxESfrFiSssNJRFC+fx7OkTUKkoUrQY7Tt0wuQTn4xxze/LescEvX7JnlWjCA8LRBMbSxHn6lSPdz6xe9Uouo/SP59YP1v/fKJGE/3ziVuXDnNyzyIMjYyJjY2heNkfqVK3w0efTzSv8G3eI/Yb2j69q5CkrHF6K/6/ksaDt/z8/Fi9ejV9+/ZN9c86f/48+fLlw95eO1YwODiY/v37M2TIEF3DAUC5cuWYMmUK1apV0yvv7e1NkyZNOH78+Gc/WnHNmjWMHj0aX19fIiIiiI2NxcjIiMKFC7N9+3YKFSr04YW89SWNB18raTz4NnxJ48HX6ksbD75GX9p48DX60saDr9XnNh58zb6k8eBr9SWNB1+rz208+Jp9buPB1+xLGg++Vl/aePC1+lYbD/yH/57eVUhSlnhDwf4fSePBW3EnyElrUVFRGBsbf7Mzp0rjwbdBGg++DdJ48G2QxoNvhzQefBuk8eDbII0H3w5pPEh50nggEybqpOfkHKamnzdngBBCCCGEEEIIkRak8UAIIYQQQgghRLpTGfz3erf8l3yb/VmEEEIIIYQQQgiRZqTxQAghhBBCCCGEEMmSYQtCCCGEEEIIIdLfNzqB/P8LWTtCCCGEEEIIIYRIljQeCCGEEEIIIYQQIlkybEEIIYQQQgghRLqTpy183aTngRBCCCGEEEIIIZIljQdCCCGEEEIIIYRIlgxbEEIIIYQQQgiR7lQqubf9NZO1I4QQQgghhBBCiGRJ44EQQgghhBBCCCGSJcMWhBBCCCGEEEKkP3nawldNeh4IIYQQQgghhBAiWdJ4IIQQQgghhBBCiGTJsAUhhBBCCCGEEOlOZSD3tr9msnaEEEIIIYQQQgiRLGk8EEIIIYQQQgghRLJk2IIQQgghhBBCiHSnkqctfNWk54EQQgghhBBCCCGSJY0HQgghhBBCCCGESJYMWxBfzMokNL2rkAos0rsCKe7NmTvpXYUUl6Fy0fSuQsq7fC29a5DinGIvpncVUtx1Vdn0rkKqeB5rn95VSHEVz45I7yqkuKc/9kzvKqS4yZut0rsKKe7W2RvpXYUUN3taifSuQoort7xJelchdVTYmd41+Dwqubf9NZO1I4QQQgghhBBCiGRJ44EQQgghhBBCCCGSJcMWhBBCCCGEEEKkO3nawtdNeh4IIYQQQgghhBAiWdJ4IIQQQgghhBBCiGRJ44EQQgghhBBCiPRnYPD1vj7RggULcHV1pUqVKlSqVIlLly59sMzhw4dp1KgRrq6uVKpUiSdPnnzOt5hqZM4DIYQQQgghhBAihaxcuZLx48fj6emJnZ0dhw8fplatWty4cYOcOXMmWmbUqFH8888/zJgxg2LFiqVxjT+O9DwQQgghhBBCCCFSyOjRo+nSpQt2dnYA1KpVi6JFizJjxoxE87u7u7Nx40b27t371TYcgDQeCCGEEEIIIYT4CqhUqq/29bEeP36Mt7c3NWvW1EuvWbMmx48fT7TMrFmzaNiwIQMGDKB69eoUL16cfv36ER0d/UXfZ0qTxgMhhBBCCCGEECIZUVFRhISE6L2ioqIS5Hvx4gUA2bJl00u3t7fn2bNniS773LlzbN68mVatWnHixAnOnj3L8ePHGTRoUMoH8gWk8UAIIYQQQgghhEjGhAkTsLS01HtNmDAhyfxGRgmnF9RoNInmDQgIoFatWpQtWxYAKysrBg4cyMKFC5Mskx5kwkQhhBBCCCGEEOnvM55qkFYGDx5Mnz599NJMTU0T5MuRIwcAvr6+epMj+vr6kitXrkSXnS1bNgoWLKiXljt3bt68ecPr16/JmjXrl1Y/RUjjgRBCCCGEEEIIkQxTU9NEGwviy507NwUKFMDd3Z3SpUvr0o8ePUqtWrUSLePs7My///6rl+bl5YWFhcVX03AAMmxBCCGEEEIIIYRIMSNGjGDu3Ln4+/sDcOjQIby8vOjbty8ALVu2ZObMmbr8gwcPZt26dVy9ehUAf39/Jk6cSO/evdO45smTngdCCCGEEEIIIdKdyuDjn2rwNWvTpg1hYWHUrFmTzJkzY2JiwrFjx7C3twfg9u3bur8BKlasyMqVK/n9998xMTFBrVbTpk0b+vfvn14hJEoaD4QQQgghhBBCiBTUrVs3unXrluh7169fT5DWtGlTmjZtmtrV+iIybEEIIYQQQgghhBDJkp4HQgghhBBCCCHSn0rubX/NZO38H4qNjf2qnhcqhBBCCCGEEOLrli6NB4cPH2bdunVERkZ+UrkpU6YwefLkTy7n4eFBnTp12Lt3LxEREZ9U9ktERUV9VL769euzceNGABYuXEj37t0/OcY3b94wf/58fHx8Ppj3xo0b2NnZMXXq1E/6DCGEEEIIIYQQ/5/SbNhCVFQUhoaGGBkZ8f3331OhQgWWLFmCu7t7ovnv3LnD5cuXadGiBcbGxgA0b94cJycnGjRoQNGiRYmKiqJr1640atSIxo0bJ/nZBgYGHDx4kEmTJlGpUiXatm2b6GMvXr16hbOzM/nz58fISP+r8fLyYty4cbRt21YvvV69eoSHhyf6uQ8fPqRAgQKsXbuWHDlyJFk/Ly8vzMzMAHj27BmvXr3CzMwMRVEYMmQIgwcPxsLCQtdbwMDAAEVRaN68OcOGDcPJyYnw8HB69OiBgYEBXbt2TfKzAMLCwnj9+jVly5ZNNl9qO7BvF0cO7sPULAOKRsPvXXrgWKhIkvn/OXOK7Vs2YGpqSlRUFK3atMe1TDnd+4+8H7Jq+SIiIsKJiowkX/6CdOjcncyZLdIinP+0IP8X7FkzlvCQ18So1RQs+R0/NOuNoWHShxCNJpb7109z69JhggN86DBweYI8c4b+RIaMmfXSipWuyXc//pbiMcRlXtwR+7pu5P3jN/6p2pI3j58nmz93l1/I/XtzYsPfgIEBt/uOJ9jjhu59Y2tLik0fgnmRAqgMVARfuc3tvhOIDU+7xsp3AvxesmnZBEKDA4hRR1PUqSINW/VMdl2FhwazZcVkfJ57oygacucrStN2/THLkBGA8+57OL53TYJ19fjfmwyesgl7h7ypEsu2w+7sOnaaDKamaBSFv9r+TLGCiX9WTGws6/cc4drdBwSGhKLRKHRt2ZgKzsX18kVGRbHl4AlOXbpKrEZDoby5GNS5TarUPzmv/V6yYclEQoMDiYmJpphTRRr/2uOD62nT8im8fOaNoijkzl+EFu376dZTXIqiMGNUVwoWcaFhy+R/E1LKfy2mLdcfsuPmIzIYG6EoCn2rlqJ4Nusk8/+y7jiZTY310twKZKeVS0EAImNimf/PbW75BqIoCiqVil6Vi1Mqu22qxhHXf/V319rCgF9+yEjmjAYYGcEdbzU7T75BoyRdpmJJE2qUMSMiSj/T/G1hRL5Nc8hqSMuaGTE0ABMTFZduRXP44qfd3PkS9llN+atLQawtTTA2VnHpSiCL13gTm0TnURMTA1bNKY1/QDTECSu7vRkHjvuybN2jBGVmjinF9dvBLN/wOHWCeOvI/u0cP7Rbu+0pGn7r2IsChYolmf/C2RPs3roGE1MzoqMiad66M86lK+jej4mJYcOq+Tx7/JCw0BDMMmSkdYee5CtYOFXjiM+8Wm3Mq/yAEhUFKhWBm5YR/dgr0byW9VqQoWRpFLX6faJKhUmuvDwb1BnlTTjZhkxBiY4G5f0KNLS0Jsr7Pq9XzErtcL4O/5GnLfxXpVnjwbp163jx4gVZsmQBIFeuXPj5+bFw4UJdnkWLFvHHH3/w+++/ExgYSOvWrYmOjiZDhgxERkZiZmbGggULuHbtGteuXSM4OJhSpUoRERFBdHQ0JiYmhIaGEhAQQJ48eXTLzZxZe8JraWnJ9OnT2bBhA3/99RdjxozB3Nxcl8/ExISXL19y6tQpChYsqEuPjIwkQ4YM2Nom/IHfvn07pqam3Lx5k5IlS/LgwQMKFiyIoijkypWL6tWrky1bNr0yCxYsYNOmTbr/nzx5wtChQ5k5cybe3t5ERETg5ubGmzdv8PT05P79+2zbto3w8HBq166ta0wBmD59OqtWrUL99kBUt27dD66LsLAwAPLmzatLO3ToEGXLlsXGxuaD5VPCsSMH2bppPdNmL8TKyporly8xcugAZs1fRpYsWRPkv371MnNnTWHKjPnkyJmLR94PGdK/F6MnTKOgYyGCAgMYOvAvWv3Wgbr1G6HRaJg3exozJo9n+JiJaRLTf1WMOpoVUzriUqkRbg27EBMTzaopnTm0aRp1Ww1Mtpzfi4eooyPRxMYkmid77iI06zwhtaqeJPNC+VBiYjFzsPtg3py//UTBgV04U74J0X4BZKlZifL7l3HKpQGRz30BKL15DmEPvDlbsRkATisn47R8Ipd//jNV44hPrY5mzpiulK/WgNpNOxKjVjN3XDd2rp1J07b9kiy3eGof7B3yMGjSehRFYdWcv1k9dyid+08H4Jn3XYZM3axX5uKpfRQo6pJqDQd73f9h1Y4DrJz4NzaWFly4dote42aybuoI7GwTXsAt3bKHIvnz8Fvj2gAcP+9J/8nzWD5hCI55cgIQGh7Bn2NnUL28KzOG/Il5xoQXqGlBrY5m5ujuVKxWn7rNfidGrWbWmB5sXz2L5u37JlluwZR+2GfPw99T1qEoCstnD2PFnGF0GzAtQd6je9dx9/pFChZxSc1QdP5rMe2+/ZgVl+6z9pfq2GQ05dxjX3rsPMumX2tgnzlDomUKZbVkVK3SSS5zxqkbZDIxYmmzKqhUKv555MsfO/9hT/sfsTQzSa1QdP6rv7tGhtD758ycvxnFgXORGBrAnz9npkn1DGw9/ibZspuPRXD/SeK/T+YZVPT5JTObjkZw6XY0ZqYqBrbOjDpW4YTnx/Us/RLGRiqmjy7FweO+rNnyBCMjFdNGlqRbu/zMXf4w0TIVy9gwYdY9rt8O0aVZWRgzZnAx1m59kiB/i0Y5KONszfXbwakWB8DJo/vYuWU142csx9LKhuuXLzBh+F9MmrsG2ywJf4dvXvNg8ZwJjJ22lOw5cvPk0b+MHNiVoePmkL+gtrFry7olFC3uTJvftb+zOzevYvzw3sxbsRMTU9NUjeedTBW/x7JOM16O64smNBizYs7Y9R7Jy1G9iA16nSC/QSZzfCbqnzdZ1m1O+PkTKG/CMcldgNBjewm/cPJ9BiNj7HsNJ3DrylSORoiPkybDFu7evcvIkSPp0aMHXbt2pWvXruzYsYMzZ87QtWtXfvjhB4oVK4aiKFy9epXg4GAyZND+OG/bto2FCxfSu3dvjI2NadWqFVWqVOHmzZsMGjSIOXPmULVqVUxMtD+8r1+/pmDBglSpUgU3Nzfc3Nx0vQVatGjBqFGjuHz5MkuWLEny0RlJidvQ8I7p2wPUy5cvMTQ05OLFiwCcO3eOsLAwBgwYgKGhoV6Zrl27cuDAAfbv34+7uzsODg6MHTsWd3d32rRpQ5UqVXB3d+fChQvExMSwbds2QNsIcvbsWdzd3XWvVatWodFodA0ClpaWXL58mb179+o+b8qUKbrvws3NTfe80NatW+vSGjduTIUKFdJsLoTNG9bwY536WFlpLwJcXMuSM1dudu/Ymnj+jWv5rlI1cuTMBUDefPkpXbY8WzetA+DEscNkMjenbv1GgLZ3RvuO3bh6xYN/ve6nQUT/XdfP7yck0JdKtdsBYGRkQtX6nTh/ZB0RYUFJljMxzUCVuh0oVKpK2lT0E/jsOMzDGQl7QiTG8e8ePFmyiWi/AAD8j54l7O6/5OvVDgCbKmWxqVoWr/ELdGW8xs0ne5MfyVyiUIrXPTmeZw8SFPCKGg20d9KNjI2p1bgD7gc2EB6a+Mnh/VseeN32pHbTzgCoVCrqNOvM1QvHeP74AQAVqjfSK+Pv+4yTBzdSt1mXVItl+da9NK5ZFRtL7R3M8k7FyZsjGxv2HU00/4tX/riVe39R+X2F0jjmzcnxc566tBkrN1G5tBO/Na6Tbg0HAJfOHCTo9St+aNga0K6n2k3ac/zAxiTX071bHjy45Um95h0B7Xqq37wTV84f59nb9fTO88de3L5yDuss2RJbVKr4r8W09MJdmpTMi01G7W98xTz25LPJzLorid9R/BhXXvhTu3AuVCrtXbXv8tpjZKDCNzT5C9yU8l/93S1T1AQrcwOOvO0REKuBg+feUL20GRnNPv8OppurKRGRCpduRwMQGaVw3COKut9lQJUGN0ZrVLUjq40Jm3Y+BSAmRmHttqc0rZ+DzOaJ3/t79CSCW3dD9NIG9yrM4tXeREXpn9/ly52R8i42+Pqlfk+K7RtXUKN2IyyttDeoSrmWxyFXHvbv2pho/h2bVlL+u+pkz5EbgNx5C+BS5jt2bV6ty5PFLhtlKlTV/V+6fGXCQoN5/fpVKkaiz7J+C8JOHULz9hgXefsqap9nWNRsmGj+sDP6v18m+RwxLVBElx4bFkzEdQ+9PNbN2hF2+ojuM4RIb6ne80Cj0VCrVi2qVq3KrFmzMDMzIyYmhrCwMMzMzDAzM2PFihXY2dlx5coV3Y/qu2EDW7Zs4cyZMwwfPhxHR0eGDh3KjRs32L17N+vWraNEiRJ6d8sNDQ2JiYlh7dq1ut4HMTExmJqaMm/ePMqUKcOLFy9wcHBIUFflbRehX3/9Vdd48S6Gd8tJyvPnz8mXLx/37t0DYNOmTbRo0QK1Ws3jx48pXPh9NyqVSsWBAwdwdHSkZMmS/PTTT5QsWRIAFxcXypcvD2iHMMyaNYsxY8bohjXEFRAQwNChQ8mXLx8vXrzAxMSEFStWsGfPHu7du8eFCxfIkSMHf/75p67BAGD58uX07duX06dP69KKFStGw4YNMTBI/fakV74++Pq8xMlF/w6Nk3NpLl04lyB/TEwMd2/f4sc69fXzu5Rm5dKFb5fpi3227Hrvm5ubkzmzBY8e/kuBgml7Efdf4n33InkcXTE2ed+Sn79YeTSaWB7d86RY6RqfvWzfZ/dZMfl31FGRGJtmoGT5OpSu2kR3HEhvGXI7kDF/LvyP/6OX7n/sHHb1qwNgW60c4fcfEfns/Xwj4Q8e8ebJC2yrVyD0ZtqdRN+/dYkCRZz11lXhkuXQaDR43bmMU7nqCco8uOWBXfY82MS5KLN3yIt1lmzcu3mRHHkcyZlXf//ZunIq39dvjZGxcfzFpYiXfq958cqfciWL6qWXLVmUM54Jn4sMUKZEwq7XGc3MCAnTDisLDg3j0JkLTOzbjb4T5xISFkaUWk2XnxtRybVUygeRjPs3PSkYbz0VKVkWjUbDgzuXcU5kPd2/6YmdQ/z1lEe7nm5cImceRwBi1GrWL5nwP/buOjqq423g+DebhChRSIAAwR2CewnuUChSfhAoDgVairYUdy/uFKdoi7u7JkgCCU6wuLvtvn8sbFg2CZRGIO/zOYdz2Lszu/Ps3MzdnTtC76HTmDeuT8YH8175sktMPuHRvA6PpkYB7Tui1Qvk5sKz1NcVehwUzqA9l4hNSMTE0ICmJRxoW8ZR056Vy2PDooseTG5ahVxmxuy795xKDrkokdsyQ+OB7H3dLVnQkCevE0hMSj72wDsRhR4UL2DAnUcJqebt0MCU6FgVxjn0eBOYyKFLsQSHq7/zlShoiJe3dl7P5wm4tDDDIbc+r/yTUnrJdFOpvBXunuHEJyQPX3e7E4JCoYdTWUsuXtO9s+39Snuq3Dc1bVEowN1Tu0PBwECP4T8WZ9ofXiydWTFDyv9OgL8P/n5vKO+kPVW2vFM1XG9c1EmfmJjIQ093GjXX7rQuV7EaW9ct0Txu0qK95v/x8XGcOLyHqjW+IU/e/OkcQcr0bXJjmDsPMZ53tI7Het7BtELK04IT3rw3+kNPD5uuAwnemjwCOyk4UCt9joJFMC5RlpDta9Kv4F8BPdlt4YuW4Z0HCoUCb29v9PT0UKlUhIaG0q5dO/T09Ni+fTt58uRh2LBhLFmyhLi4OM2P5KSkJHLkyEGOHDn47bffmDRpEmXLlmXatGk8fvyY/fv306VLFxYuXKj54f0+IyMjYmJimDp1Kj/99BN58+bl9evXVKlShWrVqtG/f38mTpyolef8+fPMmzePn3/+WWtqgEqlYvXq1amubQDw6NEjChUqhLe3N8+ePWP9+vU4ODhQpUoVXr58ydGjR3F2dgYgKiqKadOmYWhoqOmkOHLkCLa2tpovGfPnzycoKIj79+9jZmbGxIkTadiwISqViri4OOLj41GpVLx584bhw4fToEED9u7dyy+//MLLly/JkSOHZp0Fow+Gb3l7e1OkSBGtY5GRkVhZWX1Klf5nwcHqC56VtfYUCSsra4ICA3TSh4eHkZiYkGL6yMgIYmNjsLO3x/XmNc08UoCQ4GDCw8MICwvNmED+nwgP8SenlfaQVn19A0zMLQkP+fgCnWnpNGAOdg5FAQh485RtS3/B//XjNKdDZCajt9Ma4ny1L+hx/oEYO+TRpInz0z1v4/yDNGkyS1hwAJbWunVlZm5JaJBfynlC/LGwyqVzPKelbYp5Hrhfw+/NcyrVbJI+hU5BYEgoADZW2vOmbSwt8A8KSTFP24Z1tR6Hhkfg/vAJzeup58jef/KcpCQlRy9cY+ovfTE1NsbVw4uh0xfx54wxlCxcMP0DSUVoSACW1tqfubqeLAhJ5a5ZaHAAlla6U+csLG0Iea+e9v61FOdmHbHNnVcnbUbKTjEFRKlHAtiaaV87bU2N8YtMfZTAtGZVKGyjPmefBUfw6+HrPAmKYHg99XeU0fWdmHP2Dt9uOE65PNaogEVta2VMEB/IztddS3MFYVHad9WVKoiKVWGdM/UfIfeeJnDrYQKxcSoUetCkujHjelswdV04IeFKLM0VPHypfdMoPFr9PlY5FRneeZDLJgdBIfFax5KUEB6ZgJ3tx4flGxjoMbhXUaYt8NJ5rn/3wuw78ga/gIyffhHy9gexlbX237qltQ3BKZx7EeGhb8+9D9JbWRP19twzNk6+wbdw1lg8bt+kQKEiDBk5OdNuPui/HUWRFB6qdTwpPBR964+vY2JWuyHKqAjinz9KNY115z6EHf3nP5VTiPSWKWsevPtD3rdvH/PmzaNkyZJcvnyZ+Ph4nj17Rrdu3Xj16hUAI0eq5+XGx8djaWnJkiVLePXqFUOHDmXBggUkJSVpdiKoWbMmN27cICYmhrFjxwLqTgeAjh07oqenx8WLFylUqBClS5fmwYMHuLm5ERYWluKCifPnz+fFixccOHBA57nnz5/z+vVrrly5QtWqVXWed3d3p1y5cuTNmxdPT09evnyJiYkJdevWpU6dOpqOg6SkJL755htev36t+ZEP6jv/FSpUYMmS5F7VyZMn06RJE2rXrg3AmTNnABg2bBj79u3j5s2bmlEXK1as0KzT8H4nTEq8vLwoVUr7Ll1kZCSWlh+/+xEXF6ezi0R8XNxnzS/7cDoHJI/++NT0ACqlioZNmvP3zm3s3LaFzv9zITYmhi0b12JsbKLz5Uf8e4o0Pvv/4l3HAUDufEVo+8NE1s7oToNvB2JilvF34z6VKoVRR3rvLeijSkz5S6ReFiz6k1pdKVWpT0lKtX5TyHN873pq1c+cUUoGKZRLmUYb8Y5KpWL2mq0ULehA87rqxd3ejUDo0qoRpm/bxyrlSlG1fCn2nDiX6Ysm6itS+5v6jHp6m+eBx03CQ4Oo/k2L/17Az5DdYtJP4e5XWteodx0H6v/nZEwDJ/rtvkDf6iWxMM7B+ac+xCcq2d+zKU+Cwllz3Ytu286wvH0d8uTMnGk02fW6q0zlWpTW78jwqOQ8ShUcuxZL6cKGNK5mzK5T0Wm+bmY17UlJqcT1Cc1v/dq5SExS4vHBNIZK5SyxsTLk5HndH+4ZKaW/9ZSuMZr0n9ie/PLbdJRKJWeO7+f3Yb2YPv9PctllYsd9UgrX/0/owLBs1p7Q/dtSfT5HkZLkyF+IaNfLqaYRIitkeOdBUlISe/fu5f79+zg6OjJ48GBGjhxJu3btaNasGeXKlcPFxYWBAwdqfRmNjY3Fzs4OFxcX+vbti7OzM8OGDaNVq1Y8ffqU4sWLa9YXeN+7joWTJ08SERGBnZ0drVu3xtvbmytXrvDo0SN++OGHFH8oKxQKevbsyaRJk3j69CndunVj2rRpNGrUiEmTJrF3794UOw5UKhXXrl3DxcWFihUr0rdvX86fP8/hw4e5f/8++/bt06TV19dn4MCBxMbG0qxZM81F+/Hjx6hUKurXrw+opyS833HwTnR0NJs3b+bAgQNa0zXu3LlDlSrq4YhRUVGYmZmlWic3btzgp59+0ip/WFjYJy2WOHPmTCZPnqx1bNBPwxgyNPUFsT5ka6u+OxUaEqK1SFNoaAi2uXUXbbK0tMLAwJDQEO07jqGhIZiZm2NiaooJpsz+YwlbN63j1+FDsLaxodP3Lpw7c4oSJUvrvKZIme/LhxzcPE3zOFfewlhY2xMZpj08MikpkZjIMCxtP/8CnZSYAHp6Wiux5ytUGpVKRaCvNwWKZu5Q8pS8WxAxh30uzf8BjOxyEfN2mkLsa3+sa+ku4GZkZ6tJkxFeez9i55/Ji5LZOzhiZWNHeKhuXUVFhqU6V9zKxo6nD+7oHI8IC8L6g/oNCniDl/s1vu87Jh0iSF1uGysAgsPCtRZHDA4Lxz6FxRLfp1KpmLP2L3wCglg0dqhmCpytlbrNz59Heyh6nlw2qY5mSA+vvB+xfe1szWP7fIXU9RQWrJVOXU/hqdaTtW1unqRQT+FhwZo8j+674u/zgnnj1WsIhIUGceXMfiLCguk24Pf0CilbxvS+3Gbqu5rB0bFaiyMGRcdib57yj/yEJCV6emDw3veYUnZWqIAXoZHkNDJk/nl39v7QBBNDA2zNjKlaIDejDl1j9TUvJjSunCGxvJNdrrv5cuvTpUlyHfgFJREaqcTCTPvXtEIPzIz1NFMQUmJoAAkf9Au/9Eskby71j9aUXtfCVP04rdf9HEUczRg2IHmh7hevowkMisPGSnshTX0FWJgb4h/48REDrZvm5fyVQJ3jTuWsyJ/PlCUznACwsc5Bi0Z5sLYyZP6Kz1/TIzU2NurzKyw0WGtxxLCQYGxz2eukt3h77oWFarcnYaEhmJnlxMRU/f32/REvCoWCRs3bcf70EU4e3UuXHhm/G8u7BRH1Lay0FkfUt7AiKUR3Ssn7jIqVwcDWjhh311TT5KzbhBj3m5DKgtPZmuy28EXLlGkLTZo0oUGDBvz6669ERESwb98+evTogZeXF9u2bWPmzJkMGjRIK19QUBBFihRhw4YNdOzYEU9PT5ydnXXudv355580bNiQwoULA+o76GZmZhgbG+Pj4wOoFxFs1aoVixYtwtDQkDt37mjSprQIIsCbN2+4evUqJUp8fM7ejRs3CAsLo2nTplhZWWFiYsLMmTNZtmwZ06ZNI29e7aGW/fv3JzExkSFDhqBQKDQ//M+ePYu9vbohrVy5coodAGvWrGHAgAHky5ePuXPnMmLECBQKBRcuXGDZsmUAhISE6LznO9evX8fb25sOHTpojoWFhaFUKjU7YaRlzJgxDB8+XOvYs1e6F6e05LazJ0/efHi436ZY8eTP985tVypW0u2c0dfXp0y58ni436Z23eTFce7ccsWpYvL8TYf8BRn9+yTN4xPHDlPeqSL5C2TecOSvXZ4CJej7+yatY7cv7efglhkkJSagb6CezvP0/jX0DQwoVFK3vj7Vyb8XEx7iR6eBczTHQgJeo6enwMo2c4dcpyb2pQ9Rj72xrVedcLd7muO5GtUi8MQlAILOXqX4uEHkyG2jWVTRrHghTArmI/CE7nzO9OLgWJxhU/7UOnbt/EF2r5ujVVcP3K+jr29A8dIprwJfolx1Du9aTURYEDkt1UMt/d48JyTQl9JO2kOq3S4fJ5ddfuzyOqb0UukmTy5b8tvnxvXeA0oVSX6vG+6eVHdKfWuv+IQEpi7bAMDKySMxNjJiy/5juLRtRuH8+TDQ1+e1bwDWFslbTr7yDaBwft01cNJLfsfijJy6VuvY1XOH2PHnXBITEzB4W09e7jfQ1zegRJmUf0SWLF+dgzvXEB4ajMXb4bJ+b7wJCfSlTEX11IzWnQfQunPyIpZjBrSkVoO26b6tYXaM6X15LUzJb2nGzdeBlLZP7qy6/jKAmo4p79Cy4sp9AqJimdosuU18Ex6NQg/y5DTF3TcYS+McmBgmf+1S6OlRMZ8t7j7BKb1kusou1903AUn88VeE1rEaZXPQubEpCgW8uyld0tGAJCU8epnyDy8jQ5j3szXT1ofhF5zcEWBrqU9Q2NtRL94JVC2l/eO9dCFDQiOUvA5I3ykLT72j+Ol37Y60pvXtGNqvGPr6epoRCJWdrElMUnHbI+3F86wsDalc3irFrRk3bPdmw/bkbRl3ra3BkVO+GbZVYy67PNjndeC+u5tmpwQA9zs3KF+puk56fX0DSpV14r7HLWrUSV4rxeP2DcpVVK8lcO3Safbt3sL0P/7UmqaQkJBAQnzGT8UA9foECf4+GJUsR/yLJ5rjxqWdiLl/O828ZtXqEvvoPqq4VBar1FNgWqW21noIQnwpMmVFiq1bt7Jo0SKGDx/O1KlT6d69O99++y25c+cmJCSE2NhYRo4cqbUg4ZMnT6hVqxbdu3enTZs2NGvWjEOHDuHs7MwPP/yAvb099evXZ/Lkybi4uGimK/j5+VGyZEni4uLw8PDAzMwMMzMzypcvj56eHg0aNKBgQfVFbcuWLVrlTHpv6NGFCxews7OjQIECmmOpDe1bvXo1P/zwg2bNgOnTp/P7779TvHjxFKdHgHpByHcdITt27KB+/fqajgMAf39/atasqZXHzc2NzZs30759ex4/fsyhQ4cYOHAgXl5eJCUlaaZG+Pn5pbp+wbRp0+jbt6/mMwA0nSzvv39qjIyMsLCw0Pr3OVMWvu/ag8MH9hIepr4A3nK9ge+bN7T7rhMA82ZNZf/e5BWgO3Vx4cLZ0/i8eQ3As6dPuOV6g++79tB57bi4OI4e2s++f3by07DR/7psQlu5Gs0xt8zF5eObAfUWjOcOrqZui96YmlsB8NTzOqunuRAVoXsHNy42msQE3Yt5oVJVcb92lFdP3QGIj4vmyLY5VG/4vc4aCxlB30x990phnHz+6hkaUv3IOvJ2TB4i/WjaMgoNcsHw7R3vXE3qYlrUUbNbQ8glV4LP36D42OQO0OLjBvNq6z4iPZO/UGSGKrWakdPKltOH/gLU2+cd2/MnTdr+gFlO9Z33hx43mD+uJ5Hh6roqVroyxctU4fDu1YC6nTu8axXV67Uib4GiWq///JEHDm8XsctofTq1ZvfRM4SGq38oXL19j1e+AXRt3RSAcQtXs/29nReCQsMZPnMJFcsUZ+ov/TA2MiIsIpKEt9cVWysL2jSsy6od+4iNV88jvuzmzt0Hj+nQzDlTYnqnau2mWFjZcPqgeshqQkI8R/5ZR7Nve2jq6YHHTeaM7U3E23oqXroSJcpW4dCu5Ho6uHM1NZxbke+DenpHqVSmOSw4PWW3mPrXKMXOO08JiVG3XZe9/XgZGolLJfXd4TFHrvPXezsvVHbIxfGHr7jnq44tJiGRBRfc6VC+MLnMjKnskIvw2Hj+cX+myeMdEsHOO09pUyZjO+Peya7X3Zue8YRHqWhUVT0dyUAfWtQy4fi1WKJj1d/bShQ0YGS3nJiZqH9oxiXA64Ak2jub8u6nZ5nChpRyNODk210bzrnFkdNMQeWS6s4wYyM9GlYzZv+FaD5h9tR/dvpiAMGh8XRuq16/ytBAj+4dC7Ltn5dERKrbtUrlLFk2qyKWFtr3AksXz4lCocfj56mv1fWOQpHxU+w6dOnN8YN/E/52LYw7blfx83lFq3b/A2DxnPEc3pe8hXn773ty+dxxfN+opzR7P3vEHberdPhfLwCKFC+Nv+9rzp06pMlz8ewx3rx8Tv0mbTI0lveFHdyBRYOWKMzVHdLGZSpimDsP4cf3ApCr3whyNtItT47CxUl4lXpnjWEeBxQmpsS/zpgOHSH+iwwfeaCnp8eAAQNQKBRs2rSJpUuXsmTJEpydnZk/fz65c+dm3Lhx1K5dm+PHjzNixAg6derEuXPnWLlyJebm5piZmWmmIyxfvpy8efNibm6OoaEh8fHxxMbGanoer1+/Tv369ZkyZQozZsxg2LBhhIWF8e2339KtWze2bdvGlClTaNy4seZH8zt169alXr16ml0OFi9ezPnz57l8+TIqlYqZM3X3o/f09OT8+fNcvXoVUN/1HzZsGHXr1uXy5ctMnDiRsWPHatY2+JCXlxdLly7l9OnTmmMhISG8efNGs+DhO1u2bMHT05PJkydTt25d2rVrx9ixY4mIiGDatGno6ekRGxuLl5cXLi4uOu+1cuVK/P392b59O5GRkejr62NiYsK5c+dQKBSa3SkyQ4NGTYmNjWHC2JGYmJhiYGDA5BnzNPMkX77w1mwnBVC+QkUG/TycuTMnY2xsglKp5LfxU3AsVFiTZsdfm7nleh0VKipWqsrcBcsxycLt2LILA4Mc9By1hv0bJnPvxjGSkpIoVakBDdsl/1iOCg/C//Vj4mOjMcuprrfoyFC2LvoJ35cPiYuJZOXkLjTu8BPFytUBoKSTM12G/MHBzdPQNzAkNiaKslWbUL9txm3/906pmaOwb6PeJaLa3pX4HTiF5+jZKHIYkrN0MYzzJ3ekvd66D31zU2ocW09SRBTK+ASuNetJvH/ysETX73+m3KLx1Ln6N6hUhFy9hddvczM8jg8ZGBoyZNwKtq+exq2rJ1AmJVG+qjMtOyV/phHhwfi+ekpcbDTmFuq66jdyPjv+nMms0f8DPT2KlKhA++7DdF7/xdP71HBurXM8I7SoV4vo2Dh+mroAUxNjDA0MWDJhGLZvF1F89spHs41jUGg4vcZMR6Gnx8nLNzl5Wb3V1Ru/AIb+0Fnzmr/80JllW/+m12/TMTczxUChYMn44RRyyNyRLgaGhgydsJytq2bgeuUkSmUiFao607pzf02aiLBgfF4+JS42hpxv62nAqLlsXzub6aO6AnoULVmBDj1+SfE9ju3dSEiQH1fOHKB+8846ixlKTGlrVbog0QmJDPrnEqY5DDBUKFjxXV1szdQ/UJ8GRWBjmry2UN3CeZjVsjpzzt3BUKEgKj6RhsXy0buaeqclS+McrO7wDcuu3GfffW9y6CtQqWCUcwW+KZw587Oz63U3SQmLd0TQtZkplUtaoK+Au4/jOXgp+a5uTlMFeXPpY5xDj6gY9S//JbsiaO9swq891O1IdKyKP7ZFEBCq7pyKilWxYFsEXZqa0qiqMYYGepxxjeXS3XjdQmSAxEQVIya6M2JQcerXzo2+vh6Xrgex/r1RA9ZWOShUwBQTY33CwpNvwJUslhNf/1hiYtIeIfG/9vmxz21Mi4b27Dn0muDQ1Hem+C++adiC2NgYZowfivHbc2/stCWac+/Vy+eabRwBypSvTL8hv7Fo9jiMTdTn3vDfZ1HAUd2pmNsuL5Nmr2TH5lVcOHOUhLg4zMwtmDx3FQUci6RYhowQdfUsekbG2A+bgjI2BlViIn4LJmq2VTTMW0BnQUX09cnh4EjE2SOpvm4Ox6KokhJJ8H2dgaX/cullwppK4vPpqdJaKSednDx5kl27dlGlShWcnJzYvXs3Hh4eXLhwAX9/f0xNTdmwYQMDBgxg4sSJ1KlTh8uXL9O/f3/Gjx/PqFGjSExMZMaMGezfv5/g4OQhfgqFgunTpzNs2DD09PRo3rw5u3fvxsrKSrP147hx4xg0aBCtW7fm1KlTtG/fnoiICPr168fq1as1r5WUlMSuXbuYN28eY8aM0QztDwsLo3///ly6dIl//vmH6tXVw6xiYmLo2rUrs2fPpkSJEpw+fZqff/6ZXr16MXz4cPbt24eLiwt2dnb069ePVq1aUaFC8jxuV1dXevTowdChQ+nTpw+7d+/mxIkTPHjwgFu3bhEUFKS1U0JwcDD6+vqa9RqioqIYMGAAhQsXpnHjxkyaNIn79+8TFBTEvXv3tLaHXL16NZcuXWLFihWYmpoSHh7OqlWrWLFiBa9evaJdu3bs3Lnzs+rX80n2a9xKF3X4eKKvzO5rmXMHMjOZ1M1+61kYu+nOAf/aVVZey+oipLu7BilvxSW+PFXOTcnqIqS7l81++niir8zCXSYfT/SVuXfJPauLkO4Wzy+X1UVId7bzMm9b28zkuHpvVhfhs0T/OSGri5Aq0z7Z73ryb2X4yIMnT56QK1cuVq1apTlWoEAB6tWrx8aNGzF920Pds2dPWrRogb29PVu2bKFPnz5cunRJs04BwPr161GpVDx79owXL14QGBiIpaUlTZqotwxbvXo1q1ev1iz89+rVK2JiYti/f79m0axGjRpx9+5dJk2axKlTp1Aqlfj4+HDixAl8fHxwcnLiypUrWls1WlpasmPHDqZPn86mTZuoXl29b/ry5ctZunQpHh4erFy5Emtra06fPo2dnXpOZLt27bh27Rq9evUiJCSEsLdDBR8/fsyOHTvUw/yOHtVMjfj+++/JmTMngwcPZtOmTTpbLH64oOGTJ08oW7YsY8aoFy/buHEj9evXZ+XKlZqOg9jYWJYvX07x4sXZuHGjJq+FhQWjRo3Czc2NJk2asGDBgs+uYyGEEEIIIYQQ2VumjDzIznx8fDAwMCB3CqsVpyYoKAhb24/vAfsxT58+pUiRtIdnRUREYGxsrNUZkt5k5MHXQUYefB1k5MHXQUYefD1k5MHXQUYefB1k5MHX46sdebBuYlYXIVWmvSd/PFE2l+EjD7K71HY1SEt6dBwAH+04AMiZM+dH0wghhBBCCCGEEGmRFSmEEEIIIYQQQgiRJhl5IIQQQgghhBAi68luC180qR0hhBBCCCGEEEKkSToPhBBCCCGEEEIIkSaZtiCEEEIIIYQQIuvp6WV1CUQaZOSBEEIIIYQQQggh0iSdB0IIIYQQQgghhEiTTFsQQgghhBBCCJHl9GS3hS+a1I4QQgghhBBCCCHSJJ0HQgghhBBCCCGESJNMWxBCCCGEEEIIkfX05N72l0xqRwghhBBCCCGEEGmSzgMhhBBCCCGEEEKkSaYtCCGEEEIIIYTIegq9rC6BSIOMPBBCCCGEEEIIIUSapPNACCGEEEIIIYQQaZJpC0IIIYQQQgghspye7LbwRZPaEUIIIYQQQgghRJqk80AIIYQQQgghhBBpkmkLQgghhBBCCCGynuy28EXTU6lUqqwuhPi6nbsXndVFSHfOZU2zugjp7pR7bFYXQXyC2MpOWV2EdGd1xzWri5DuklTZ88uNuWH2ayfildnvPkmSUj+ri5DujPQTsroI6S4uyTCri5DuTLNhG6HKpu155RK2WV2EzxK7Y05WFyFVxt+PzuoiZDmZtiCEEEIIIYQQQog0Zb/ueCGEEEIIIYQQXx/ZbeGLJrUjhBBCCCGEEEKINEnngRBCCCGEEEIIIdIk0xaEEEIIIYQQQmQ9vey5gGV2ISMPhBBCCCGEEEIIkSbpPBBCCCGEEEIIIUSaZNqCEEIIIYQQQoisp5B7218yqR0hhBBCCCGEEEKkSToPhBBCCCGEEEIIkSaZtiCEEEIIIYQQIuvpyb3tL5nUjhBCCCGEEEIIIdIknQdCCCGEEEIIIYRIk0xbEEIIIYQQQgiR9RR6WV0CkQYZeSCEEEIIIYQQQog0SeeBEEIIIYQQQggh0iTTFoQQQgghhBBCZD3ZbeGLJrUjhBBCCCGEEEKINEnnQRqePn36r/NcvXqVH3/8kdevX6eZ7vz58yked3FxYdOmTanmCwgI4JdffsHd3V3r+O7du5k5cyYxMTH/usxCCCGEEEIIIURasmXnga+vL87OztSvXz/Ff+XLl6dOnTq8fPky1dcIDAykWLFitGvXDpVK9cnvvWPHDvbt20dCQoLWcaVSqfX4wYMH1K1bl8DAQK3jnp6emrQjR44kNDRU6/mkpCQWLVqEnZ0d/v7+3Lx5k5s3b3Lq1CkOHjzIvXv3WLhwIU2bNiU4OBiAZ8+eMXz4cEJCQgC4ffs2RYsWpV69eprPpFatWhQsWJADBw58cqxCCCGEEEIIkW709L7cfyJ7rnmQJ08ejh8/jpGRkc5zp06dokOHDnTt2pUXL15QoECBFF/j3LlzqFQqxo0bh14qJ4tSqUShSO5/SUxMZNu2bYwZM4ZChQppjnt5edGmTRv2799P6dKlAejbty+zZs3i0KFDGBkZsXz5chQKBQ8fPmTWrFmsW7eOFy9eEBgYyIYNG3TeOy4uDktLSwwNDdHX18fQ0BBjY2OMjY1RKBSMGjUKQ0NDAAoXLoyjoyM1atTAw8ODV69e8fTpU548eaJ5vefPn1O4cGFKliz50c83PQUF+LBtzSwiwkJITIynjFMt2nUbjL5+6qdmVEQYO9bNxefVM1QqFQWLlKJzr5EYm5jqpFWpVCyYPJBipSrRtsvAjAwlWwsO8GHHnzOJCAsmMSGe0k61aNv1p4/W0671c/B9/QyVSknBwqXp0HOUpp6unj3A6YObMTHNqZXP+4kHY+buwD5foYwMKdvFZF62OPYt61NoSA8u1+tCjHfao58KDvgfBft0IikqBhQK7o+YQdjN5BFNhtaWlPnjd8xLFUVPoUfYrfvcHzGTpKjoDIshNUEBPmxdM4fwsGASExIoW7Em33UblGZdRUaEsW3dfHU7oVTiWKQUXXqP0Gonzp/Yg9u1s0RHRRAbG02Ldj2o5dwyM0J62/bNVseUmEAZp5q0/4S2b/u6eW/bPiWORUrTudeINNq+HylWqmKmtH0nDv/D6WP7MTI2QaVS0qPvUIqWKJNq+muXzrB/92ZyGBkTHxdLJ5f+VKxSU/N8YmIi2zYu55X3UyIjwjE2McWl908ULpbZ1yhfNq2aS0RYCAkJ8ZSrVIOOLj9+9NzbuvYPfF49R6lSUahISbr2GaZVT14ebuzctBR9fQPi4mJp2vp76jZslRkhZbu/p5OH/+bM8X0YGZugVCrp3m8YRYunfu5dv3yaA++dex279cepSi3N8wH+Pvz91xrCw0II9PelYKFiuPT9BStr2wyP5UPZra6OH96jbieMjFGpVPzQbyhFS5RONf21S2fYt3sLRkbGxMXF0tmln1Y78b57d92YNm4o2/ZfyKjipyi7tn1CpEZP9W9uq3/FYmJiOHjwIMeOHWPixImpdhq888MPP3D//n1u3LiRappLly7x66+/YmCgbsT9/f15/PgxtWvX1kqnUqlISkrC0dGRrVu3ao4fOXKEWrVqYWVlpTlWtWpVhgwZQs+ePQG4du0a+fPnx8HBgQsXLhATE0OzZs3o0KEDNjY2FClShKNHj+Lt7U1ERATlypXj9u3bVKxYkbNnz2peNzo6mgIFCrB8+XISEhLo3r271oiKd50HPj4+5MmT52Mfp5Zz9z7vx0RCQjxThn9PLefWtOzYh8SEBBZNHUzBwiXp1GtEqvnmTeiHfV5Huv84DpVKxbrF44mPi+HH0fN10p44sIVd6+fTuvOAf/UF2rms7pfxr90p99jPypeQEM+MEZ2o4dyG5h36kpiQwNLpP1KgcCk6/DAy1XwLJvbBPp8jXQdMQKVSsXHJWOLjYuk/6g8Adq+fS8deo7TyXD9/CN/Xz2j7vyGfVdbsEFNsZafPiilP+6aYFspP6Tm/crpYwzQ7D/L3aE+JSUO5WOM74gOCydW4DpX/WsD5Sm2Ife0HQM0Tm4h89AyPQRMBcNowB30TY9y+//lfl83qjutnxQTqupo4rAu167emdcfeJCYk8MeUIRQsUpIuvYanmm/O+P7Y53Pkhx/HolKpWLtoAvFxsQz+dS4AZ4//Q0JcLE3adAXgsddd5kwYwE+/zad85dqpvu47SarPvwOhbvu6UNO5Fa3etn0Lpw6mYOFSdE4jpnkT+mOft+AHbV8sP46ep5P2xIEt7Fz/B2069/9XbZ+54b9vJ86dPMTOrWuYsWAdllY23HW7xuI5E5i9dDO2uex00nvcucmCmb8zbf5a8joU5MXzJ0z6dSDjpi+hSLFSAGzbuILiJctStWY9APbu3MihvdtZtn4vOVK4MZCWeOXn3SdJSIhn/NBu1GnQkjadepGYkMC8yT/jWKQk/+v9S6r5Zo79kTwOBek1aAwqlYrVCycRHxfLT7/NBuDNy2dMHtmL4RMWULJsJYKD/Jk0vAc9B/1O5Rr1PqlsSUr9z47pS/x7AjDST/h4og+cO3WQ3VtXM+2PDepz79Y1lswZx6wlW1M89+7ducnCWb8xZd66t+feY6b8NoCx05ZRuFgp4uJiWTp3PL1/HI21bW4SEuJZPn8SIcEBTJy9OtWbSamJSzL81zG986XWlelntBEAZ08eYueWtcxcuA5LK2vuuF1j8eyJzFm2KZV2wpU/ZvzOtD/WkO9tOzFx9I+Mn7FY0068Ex0VyeghPQgM8GP7wUv/umyqz2zPv/S2r3KJzO/wSg+x+5dldRFSZdx2cFYXIctly2kLKSlTpgyurq6sXbtWp+PgwykGiYmJHDhwgH79+um8zvDhwxk8WH3i1KlTh4sXL3L27FnOnj1L8eLFGTlyJGfPnmXs2LHUqVOH/fv3c+7cOS5evKjpOFAqlSiVSh49eoS+vj5r1qxh7dq1rF27lmrVqnH79m3NsUaNGuHi4oJKpeLy5cs8fPgQgOnTp2Nra8uQIUM4evQoP/zwA7Vr1+bo0aP4+PhQo0YNbt26pSm3qakpd+/e5cKFC1SsWDE9P9rPduPiUUKD/GnS1gUAA0NDmn/Xi9NHthMVEZZingf3bvLoniutOvUFQE9Pj9ad+nHr6mleeT/SSvva+zH3b13BOte/6wwR2lwvHSU02J9GbboD6npq2q43Z49sS7WeHt67yeP7rjTv0B9Q11OLjv25fe0Ur9/WU80G32rlCfR7xbmj22nZcUAGRqOWHWPy3XOcpwvWfVLa4mMH82LNDuID1FObAk9eItLrCYWH9gTA5ptq2NSrxuMZKzR5Hk9fTt7vmpGzXIl0L3tarl84RkhQAM3adgPUddWyQ09OHd5BZGrthIcrD+650aZTH0BdV2069cX1vXbi4T1XzZdngGKlKlCpujNXzx/J4IjgxsVjhAT50/S9tq/FR9s+Vx5+0Pa16tQPt1Tavnu3rmCTSW3fP9vX06j5t1ha2QBQoXIN8hVw5PC+7Smm37NjAzVqNyCvQ0EAChYqSqWqtdm3M3m9n1x2eTRfngGq1KhLZEQYQUH+GRiJtmsXjqvPvW/V54mBoSGtOvzAiUM7Uz33vDzceHDPjbadegPqevq2c29uXjnDy+ePATj0z2aKlChLybKVALCxteObxm3Zu2NthseU3f6e9mxfR8Nm7ZLPvUo1cChQiCP7tqWcfuc6qmude8WoWLUO+3ZtAODBvdtUr90Aa9vcABga5qBjt3488nLH3zft0VzpLbvV1T/bNtC4+bdYWlkD4PSundi7I+X029dTo0598r3fTlSrzd6duuuCrVv5B6XKfl7H+3+RXdu+LKdQfLn/xP+fzgOFQoGxsbHWsdGjR/PgwQNWrFihtSaCk5MTYWFh/PXXX9SvX58qVaqgp6dHpUqVcHNz4969e5w8eVLrtSpUqMCLFy8YP348AK9fv+bgwYNYWFjolOV///sfDRs2ZOjQoSxZsoR+/fpp1hvo06cPfn5+7Nixgxo1atC+fXtOnTpFTEwMixcvxtRUfUfc0dGRzp07s23bNvbu3UupUqXo2rUre/fuZcWKFVSqVAkfHx+t93316hX58uXTPH4/5i5dugC6HSkZ6aGHK8VKVcQwR3JPaqny1dQdK55uqeaxy+eo9aXYPp8j1rny8MA9eZRIYkICf62ZicuP41DIHKX/5OG9GxT9oJ5Klq+OUqnkcSr19OjeTezyflhPhdT15HEdgPyFtH+E7t4wj4atXTAw/Pw7NZ8qO8b0qUwK5sO0SAECT1/WOh546gq2DdRDJ22dqxP18Dmxr3w1z0c9ek7MizeaNJnF654rxUs7adVV6XftxP1bqeaxz1dQq67yODhik8sez7vqdqJU+Wo6+YyMTYmKTPlLeXp64HGTYqWcUmn7Uo7pgcdN7D9o+/K8feyl0/bNovuPqU+5S08B/j74+72hvJP251neqRr37uqOOElMTOShpzvlKlbVOl6uYjXuuSenb9Kiveb/8fFxnDi8h6o1viFP3vzpHEHqPN3dKF66Ajneq6cyFaqiVCp5eP92ynk8XMmTryC2ue01xzTnnvtNALw8XCnrVF0rX1mnang/8SI6KjL9A3lPdvp7CvD3IcDvDeU++CzLOVXjfirn3iNP95TTu6vbfWMTU50h58bG6u9dkZHh6Vn8j8pedeWrbic++LsvX7FqGu2ERwrtSlXu3dW+Rl8+dxJLS2udNiWjZee2T4i0ZLs1D1asWMGOHbq9mG/evGHDhg2aofzR0dHcuHGD3bt34+npyc8/Jw/F7d27N2XLlmXnzp0ArFu3joEDB3LmzBmtKQbvPH78mHv37nHmzBlMTEw0x999cdu3bx9GRkY0b94cQFM+PT09WrZsyb179zA2NsbFxYWjR4+SkJBA/fr1AVizZg0KhQJ9fX0WLVqkNSWiUqVKrFq1isuXL2Njo+71jI+P59q1a2zcuJGWLbXnr02fPp3Fixejr6/PsmXLuHPnDra2tjx8+BAHBwc6der0r6cs/BehIQFYWufSOqavb4CZuQUhqfSwhgYHYGmlOwzLwtKGkCA/zeO9fy3FuVlHbHPnTd9C/z8UFhyApXVurWPqerIk9L3PXCtPiD8WVrl0jue0tE0xzwP3a/i9eU6lmk3Sp9AfkR1j+lRG+dRDKeN8tRdrjfMPxNghjyZNnF+ATt44/yBNmswSGhyAVSrtRHCa7YRuXVlY2WralnqN22k9l5iQwL3bV/mm8bc6+dKbuu1L6fyz0GrH3hcWHIBFCm1fzg/avj1/LaVeJrZ9IcHq8+jD+eCW1jYEB+qeQxHhoSQmJuimt7ImKjKC2NgYjI2Tr6MLZ43F4/ZNChQqwpCRkzOlQ+Sd0OAArGx0zz1zcwuCA1M79wKxTGFuvKWVjSZPSmks3t65DA7yw9TMPD2Kn0r5ss/fU6jm3LP5oFw2Kcby7tyz/CC9pZUNUZHhxMbGUKJ0BZ18bjcuYGRsgkOBwulY+o/LTnUVEqSuqw/Pe0srG4LSaCd06sraRqudCAr058SRvfw+9Q8unTuRYeVPSXZu+4RIS7brPOjTpw8//vijzvFixYrh4uLCpEmT0sz/+vVr/vrrLy5dSp4ztW3bNtq0aZNix0FoaCitW7dGqVQSFRVFvXr1UCgU+Pr68urVK+rXr8+dO3eIjo7m4sWLVKum2+NbpkwZ+vXrh7e3NydOnKBZs2bkzZuX8uXLa9IYGRnRsWNHfH19tfIaGBjQuHFjhg9Xz3+Ljo6mZMmSWp0MK1eu5ObNm/j5+WkWchw0aBAdOnSgZMmSPHz4EGtra0aMSH2dgXfi4uKIi4vTOhYfn6R1Z+bf0FekPG9T9cHuFO9T6Ked54HHTcJDg6j+TYvPKpPQldpnrlR9Rj2lkOf43vXUqt9WawHSjJYdY/o3VImJOsf0FHrvPZ+UYr7302SWf/O5fyxPavW7e8sS9A0MaPrecN6MlFrbp1SmvgyRfqptnzqPuu0LpsY3zf97Af+llD7vNOvnE9v+X36bjlKp5Mzx/fw+rBfT5/9JLrvM68BKtZyfE9t7eVK/jmX8MlTZ7e9JkcLigWnFkvrfkW6eAL837N66hs7dB2r9sMss2a2uUvrsP7euVCoVa5fOoffA4Rga5ki3Mv5b2bXty1LSUfJFy3adBzly/LcGZOrUqTRo0IAqVaoAcOXKFU6dOsXVq1d10oaGhtKtWzdmzZpFly5dyJ07NydPniRHjhxs2LCBhQsXai1amJq4uDgWLVqk6dh4+fIlefLk4c2bN/Ts2ZM1a9bg6OiYan5/f388PDwAiI1VL2Tz/g+W7t27s2fPHurV016I6dGjR/Tq1YvLl5OHL8fFxZGQkIC5ecp3PmbOnMnkyZO1jv3w4+/0Gjw2zRhfeT9i+9rZmsf2+QphZWNHeFiwVrqkpESiIsNTXafA2jY3Tx7c0TkeHhasyfPoviv+Pi+YN149NzgsNIgrZ/YTERZMtwG/p1nO/+9eez9i55+zNI/tHRzV9RQapJVOXU9hqdaTlY0dT1Oop4iwIKxttfMEBbzBy/0a3/cdkw4R6MqOMf0X7xZEzGGfS/N/ACO7XMS8naYQ+9of61qVdPIa2dlq0mSEV96P2LpmruZxHgdHrG3sCA9NuZ2wyWX/4UsAYG2Tm8deKbQToUEprgNw6O91uF07y6jJKzA1y6nz/H/xyvsR29bO0TzOk+9tTGEpnX+px2Rla8eTB3d1jkeEBWvyPLzvhr/PC+aOV6/XExYaxOUzB4gIC6HbgIw5F21scr99r2CtBcLCQoKxTSEWC0srDAwMCfugTsNCQzAzy4mJqRmgXmj43Z02hUJBo+btOH/6CCeP7qVLj/TfPeLl88dsWZO88GQeB0esbVO+RkV+9NzTraew0OR6srbNrXNOv3tsk8Iia58rO/49aZXr7boE4R+ce+HvfdbvS/3cC8b0vXPvnaAAP2ZO+JmmrTrSvM33GRBBsuxeVza26tEQOu3EB4/fSbWuQoI17UR0dBR+vm9Yt/KPt6+lblMn/zaEbr0GUaxk6jsepIfs0vYJ8W9lu86D/+q7777jzp07DBo0iICAAK5fv06rVq1SHDGwa9cuNm7cSK5cyUPEPqfzYtiwYdy8eRMzMzPq1KmDp6cn06dP17zWH3/8waJFi1LNf/HiRV69egVAUpLu3UIzMzPy5s2rtf5CUFAQXl5e1KpVS2srSA8PDxQKBZUq6f5wABgzZoxmlMM7156kfIfyffkdizNyqvZiUFfPHWLHn3NJTEzAwEA9J9zL/Qb6+gaUKFM5xdcpWb46B3euITw0WDPM0++NNyGBvpSpqJ6L3brzAFp3Tl6gbsyAltRq0Fa2avwEDo7FGTblT61j184fZPe6OSQlJqD/tp4euF9HX9+A4qWrpPg6JcpV5/Cu1USEBZHTUj1Ez+/Nc0ICfSntVEsrrdvl4+Syy49d3tQ7yP6L7BjTfxH70oeox97Y1qtOuNs9zfFcjWoReEI94iro7FWKjxtEjtw2mkUVzYoXwqRgPgJPXMywsuV3LM6v01ZrHbty9jB//TlPq53w/Eg7Uap8NfbvXKvVTvi+9iY40I+yFZPXbFCpVOzcuJAXTx8wfs5GclpYc2TPJlq075GuMY2aukbr2NVzh9j+QUwfa/tKla+m0/b5vvEmONCXMhXV51+bzv1p07m/Js9vA1pRu0GbDG37ctnlwT6vA/fd3bRWQHe/c4PylarrpNfXN6BUWSfue9yiRp0GmuMet29QrqL6Onvt0mn27d7C9D/+1Bqqm5CQQEJ8nM5rpocChYoxZvpKrWOXzh5h69r5JCYmanZVun/3Jgb6BprFDj9UpkJV9u34M8Vzr1zFGgCULl8VLw9XWrTrpsl3784NChcvg5m57jpJnys7/j29L1fuPNjnyc99d1cKv3fuedy5QfmKKZ97Jcs64enuRvXaDdNM/+rFUxbOHMN3XfpQt0ELvO7dVl8fSpXLkFiyfV29ayfu3tJuJ27fpEJa7YS7djvhfucm5Sup2wlTUzP+WPmX5rmzJw+xcuEMJs5amiExfCi7tH1C/Ftf5njaDJCUlPRJ84WaNm3KqFGj6NKlCzdv3qRp06Y8efKEokWLMn/+fM2dfYB+/fppdRykZfTo0Xh7e+scf/ToEWZmZhw5coSzZ8/StGlTSpQoQdu2bZk5cyZnzpxJs+MAoGfPnpodH44cSXm13Bs3bhAWlrwYzvLly2nbti22ttpzr9zd3YmKikr1vYyMjLCwsND697lTFqrWboqFlQ2nD6pXRU5IiOfIP+to9m0PzHJaAuphuHPG9iYiPASA4qUrUaJsFQ7tUl9kVSoVB3eupoZzK/IVKJri+yiVyjSHkIm0VanVjJxWtpw+pL5IJyTEc2zPnzRp+4Omnh563GD+uJ5Evq2nYqUrU7xMFQ7vTq6nw7tWUb1eK/J+UE/PH3ng4Fg8EyPKnjEB6JupF/ZSGCf/TeoZGlL9yDrydkyexvNo2jIKDXLB0Fa96nWuJnUxLeqo2a0h5JIrwedvUHzsIE2e4uMG82rrPiI9n2RGKBrV6jTBwsqGk++1E4f/Xk/zdt0xf1tXXh43mfl7H007UaJMJUqWrcyBXeoOS5VKxf6da6jl3BKHAkUAiI2JZvmc0RgZmzJi0nJyWliTlJSoeY2M9K7tO6XV9q3Xaftm67R9lTm4a40mpoM7V1PTuSX53sb0IeXbob0ZrUOX3hw/+DfhYaEA3HG7ip/PK1q1+x8Ai+eM5/C+5LWI2n/fk8vnjuP7Rt3p7f3sEXfcrtLhf70AKFK8NP6+rzl36pAmz8Wzx3jz8jn1m7TJ8HjeqVGnMZaWthw/oF45PSEhnoO7N9KivYvm3PN0d2X6mH5EhIcCUKJMRUqVq8S+neoOS5VKxd4df1K7fgscCqrrqWX77jy4d4vHD9wBCA7048KpA3R00Z1ymd6y299T+//14cSh3ZrP/67m3FMPwV8ydxxH3lv5vl3nXlw+fxzfNy8B9bl31+0q7bv01qS5deMSa5fO5JcxM6nbQN1uPn10P11HhXyK7FZXHf7Xm2OH3msnXK+p66q9up1YNHvCB+3ED1w6dyK5nXj6iDuuV+nQpVeKr698O+xfmca01/SWXdu+LKen+HL/iew98sDHx4ctW7awefNmnj9/rtmpIDVJSUkcPXqU9evXY25uzt69e3FyciIxMZHZs2czevRoNm3axO3bt3U6IpKSkli0aBEvX6ovSO+veRATE8P169fZuXMnd+7cwdLSUjPNYN68eRw9ehRDQ0OGDRvG/fv3uXTpEuHh4fTp0wcfHx8OHz5MkSLqRv/DL4LvN5L79u3D3V39ZeT9aQuJiYl4eXlRp04dAI4cOcI///zDsWPHNGlfvnzJ/fv32bhxI/b29tStW/dff97/loGhIUMnLGfrqhm4XjmJUplIharOtH7vzllEWDA+L58SFxtDTgv1D50Bo+ayfe1spo/qCuhRtGQFOvT4JcX3OLZ3IyFBflw5c4D6zTvrLNAoPs7A0JAh41awffU0bl09gTIpifJVnWnZKXl0R0R4ML6vnhIXG43523rqN3I+O/6cyazR/wM9PYqUqED77sN0Xv/F0/vUcG6dafFA9oyp1MxR2LdpBEC1vSvxO3AKz9GzUeQwJGfpYhjnTx5G+XrrPvTNTalxbD1JEVEo4xO41qwn8f7JQ+ldv/+ZcovGU+fq36BSEXL1Fl6/zdV534xmYGjIiIlL2bRyJjevnCIpKYmK1erRtnPyVrrhYcG8eflMq50YNHoOW9fMYfJIF/T09ChasjydewwF1F/Cp//ak4jwECIjwpjroV7pOjQ4AOem7XULkQEx/TJhGVs0bV8SFarW0xo1EB4WjM8HMQ0cNZdta2czbVQ33rV9Hd/G9KF3bd/lMweo37xThrZ93zRsQWxsDDPGD8XYxBQDAwPGTluiWcju1cvnmq3MAMqUr0y/Ib+xaPY4jE1MUCqVDP99FgUc1Z1wue3yMmn2SnZsXsWFM0dJiIvDzNyCyXNXUcAx5Y6SjGBgaMjISYvZuHIWNy+fJikpkYrVv6Hd9301acLDgnn98hmxMdHktLACYMivs9i8eh4Th/dAT0+PYiXL07nnT5o8efM78su4+Wxd8wcGhoYkJMTTvf8ozciEjI4pO/09fdOgBXEx0cwY/xMmJqYYGBgyZuoSzcJ8r188++Dcq0LfwWNYMmcsRsamKJVJDHvv3Ltw5girFk2lSLFSbFipbu+USiU+r1/Qsl3mrIfyTnarq3oNmxMbG8P0ce/aCUPGTV+saSdef9BOlK1Qmf4//crC2eMxNla3EyPGzqRAId02IDgwgP271duh79u9mfadf8jQWN7Jrm2fEGnRU2XGbYkstnr1ajZt2sS2bdsoUKCAzvPPnj3j/Pnz+Pv7U6ZMGRo2bKi1a8I7e/fuZfTo0Xh5eWn9OFcqlZQsWZKjR49StGjKd78/5ObmxvDhw1m2bBlnzpzh8ePHtG7dmsaNG2vSJCYm0rVrV3r37q3ZqeHFixf06NGD06dPo1AoGDVqFDVq1KBjx44ATJ48mYsXL3LkyBHNMEuAZcuWUbx4cW7dukVQUBATJkzQrGuwZMkSfv31V2JjYzEzM2Ps2LH89ttvnxQHwLl70Z+c9mvhXDbtjqav0Sn32I8nElkutnLm71Wd0azu6G5b9bVLUmXPBZ3MDbNfOxGvzH73SZKUKS+69jUz0s+8raIzS1zSl7NNb3oxzYZthCqbtueVS+ju/PI1iD28+uOJsohxy/4fT5TN/b/oPPiSvXjxAgcHh1RXlE1Pt2/fJl++fNjZpe/QO+k8+DpI58HXQToPvg7SefD1kM6Dr4N0HnwdpPPg6/HVdh4cXfvxRFnEuHnfjyfK5rLfFfUrU7BgwUx7r4oVK2baewkhhBBCCCGEyD5k5QchhBBCCCGEEEKkSUYeCCGEEEIIIYTIep+wO57IOjLyQAghhBBCCCGEEGmSzgMhhBBCCCGEEEKkSaYtCCGEEEIIIYTIenpyb/tLJrUjhBBCCCGEEEKINEnngRBCCCGEEEIIkY5WrFhB5cqV+eabb6hTpw43btz4pHyxsbGULVuWDRs2ZGwBP4NMWxBCCCGEEEIIkfWyyW4LGzZsYMaMGbi6umJnZ8fx48dp2rQp7u7u5M+fP828v/76K/fv38+kkv47MvJACCGEEEIIIYRIJ1OmTGHAgAHY2dkB0LRpU0qXLs2CBQvSzHf8+HFCQ0MzoYSfRzoPhBBCCCGEEEKIdODt7c2zZ89o3Lix1vHGjRtz+vTpVPMFBwczZcoUlixZktFF/GwybUEIIYQQQgghRNZTfLn3tuPi4oiLi9M6ZmRkhJGRkdaxN2/eAJAnTx6t4/b29rx69SrV1x80aBCzZs3CwsIinUqc/r7c2hFCCCGEEEIIIb4AM2fOxNLSUuvfzJkzU01vYKB7n16pVKaYdtOmTRQrVoy6deumW3kzgow8EEIIIYQQQggh0jBmzBiGDx+udezDUQcADg4OAPj5+Wktjujn50eBAgVSfO2LFy/i6elJ/fr1NcdmzZrFixcvmDBhQjqUPn1I54EQQgghhBBCiCyn+oJ3WzBOYYpCSgoWLEjRokU5e/YsVapU0Rw/efIkTZs2TTHP6tWrtR7r6enx22+/0bNnz/9U5vQm0xaEEEIIIYQQQoh0MnHiRJYuXUpgYCAAx44d4/Hjx4wYMQKALl26sHDhwhTzJiUlAalPcchKMvJACCGEEEIIIYRIJ927dycyMpLGjRuTM2dOcuTIwalTp7C3twfg/v37mv9/6OeffwZgwYIFuLi4kCNHjkwr98foqVQqVVYXQnzdzt2LzuoipDvnsqZZXYR0d8o9NquLID5BbGWnrC5CurO645rVRUh3Saovd1jlf2FumP3aiXhl9rtPkqTUz+oipDsj/YSsLkK6i0syzOoipDvTbNhGqLJpe165hG1WF+GzxJzZmtVFSJVJg25ZXYQsJ9MWhBBCCCGEEEIIkSbpPBBCCCGEEEIIIUSast9YPiGEEEIIIYQQXx89ubf9JZPaEUIIIYQQQgghRJpk5IH4z4oaPs3qImSAclldgHSnr5f91kZ1Srqe1UVId/ez4eKCoU5VPp7oK1Pg/oWsLkKGMFRkv0Xr8qiCsroI6S7QME9WFyHdub22y+oipLvYuKwuQfqztzbJ6iKku/pGF7O6CBnEOasLILIh6TwQQgghhBBCCJHlVHrZc/eL7EKmLQghhBBCCCGEECJN0nkghBBCCCGEEEKINMm0BSGEEEIIIYQQWU92W/iiSe0IIYQQQgghhBAiTdJ5IIQQQgghhBBCiDTJtAUhhBBCCCGEEFlPdlv4osnIAyGEEEIIIYQQQqRJOg+EEEIIIYQQQgiRJpm2IIQQQgghhBAi6ynk3vaXTGpHCCGEEEIIIYQQaZLOAyGEEEIIIYQQQqRJpi0IIYQQQgghhMhyKtlt4YsmIw+EEEIIIYQQQgiRJuk8EEIIIYQQQgghRJpk2oIQQgghhBBCiKynJ/e2v2RSO0IIIYQQQgghhEiTdB4IIYQQQgghhBAiTTJtQQghhBBCCCFEllPJtIUvWpbUzvHjx9m6dSuxsbH/Kt/cuXOZM2fOJ+VLTEz8V6/t6emJj4+P1rGdO3fSr18/IiIi/tVrfa67d+/y+vVrDh48yPPnz1NMc+7cOSZPnkxQUJDW8VmzZrFx48ZMKKUQQgghhBBCiP9vMm3kQVxcHPr6+hgYGNCwYUNq1qzJmjVrOHv2bIrpPT09cXNzo3PnzhgaGgLQqVMnnJycaNOmDaVLlyYuLo6BAwfy7bff0q5dO03eO3fu0Lp1a1auXMmLFy/YsWOHVjlMTU3Ztm0bdnZ2muO2trY4OzvTvXt3fv/9dwA6d+7MyJEjOXbsGB07duTJkyfs2bOHkSNHavLVr1+f2NhYjI2NU43dx8eHvHnzsnPnTq33BIiMjMTc3BxQd448fvyYtWvXUq1aNTw9PcmVK5fOa+3evZtx48bx+PFjQkNDAfjnn3+oWbMmZcuWZdmyZVhZWfHHH3+gp6fH4cOHuX//PsOGDUNfX5/ly5ezbNkycufOrXndwMBATE1N2bx5MyVLlkw1lvS0//BRDh07ibGxMSqVkkF9e1OqRLFU07/x9eXaDTf2HDjE8J9+pGL5cprn4uLi6PfTcGxtbNB7b39YHz8/mjasTy+X/2VoLNldcIAP29bOIiIsmMTEeEo71aJd1yHo66fehERFhLFz/Vx8Xj1FpVJRsEgpOvUchbGJqSbNoqmDSEyI08pXpIQT7V1+zrBYAP4+fpZ9py5gYmSEUqVi2A/fU6ZYoRTTJiYl8deBE9zxekRIeARKpYqBXdpRs2JZrXSxcXHsOnqG8zduk6RUUqJQAX7r3z1D40hJUIAPW9fMITwsmMSEBMpWrMl33QalWVeREWFsWzcfn1fPUCmVOBYpRZfeI7Tq6vyJPbhdO0t0VASxsdG0aNeDWs4tMzQW87LFsW9Zn0JDenC5XhdivF+nmb7ggP9RsE8nkqJiQKHg/ogZhN101zxvaG1JmT9+x7xUUfQUeoTdus/9ETNJiorO0Dg+dOzwHk4dO4CRkQkqlZKe/X6mWInSqaa/eukse3dvJYeREfFxcXzv0pdKVWponr939xarl8/DyspGK1//IaNwyF8ww+J435FD+zhx9BBGxiaolEr6DBhM8RKlUk1/+eJ5/tm1DSMjI+Li4ujavReVq1bXPB8eFsbGdavw8/MlPi4OM3Nz+vQfTP4CmRMPwL7Dxzh0/BTGxkYolSqG9OtJqeJpXaP8uHrTjX8OHGbkkIFULK/dRty958mfm7eRpFQSHRNNpQrlGPCDCzly5MjoUDSy47kHEBb8huPbphAdEUxSYjyFS9fBud0wFGm0e/6vH3D50ApiosOJCPWlYPFqNPhuFEYm5po0ty/u4uHtk8RGh5EQF02Npn0pV6NtZoQEQHjwG87sTo7LsVQd6rROO67ANw+4dmwFsdHhRIb6kr9YNeq21Y7rn+V9SEqM18qXt1BF6rYdkWGxvBMa+IZ9m6YTGR5EYmI8JcrVoWmnoWleo5TKJB7evYj79WOEBfvR97c/U02bEB/HkgkdqdeyN1Xrtc+IELRk5+8TQqQk0zoPtm7dyps3bzQ/hgsUKEBAQAArV67UpFm1ahVDhgyhT58+hISE4OLiQnx8PCYmJpof6CtWrODOnTvcuXOHsLAwKlSoQHR0NPHx8ZoL8NKlSylUqBCNGzdGT0+PH3/8EYDY2FiqVatGfHw8Pj4+Wj/k7ezs+OOPP9iwYQPdunXj9Wv1l9SkpCSWLl3K0qVLefbsGS9evMDU1JRBgwYB6h//Q4YMoWfPnoB6ZMCkSZPYt28fFhYWAEyaNImTJ09iZ2eHUqlk/vz5mg6RpUuX4uTkxPbt2zl58iS7du2ibNmylC1blvDwcCZOnMjChQs16QEUCgWxsbEYGRlpOi309fUxNTXF2NiY/Pnz07FjR5RKJfr6+rRs2ZI1a9bg4eHBvHnzCAsLI3fu3FodNxs2bGDKlCkUKlQovao8TUdPnuavXf+wYsFcrK0suel2m18nTGHt0gXkzmWbYh4fXz8SEhIIj4jUee7aTTdGDR1C+bLJX4JCw8KYPHMe/+v4XYbF8f9BQkI8C6f8SM36rWnZoS+JCQksnjaIfzYvolPP1L9orJw7Avt8jvw+5y9UKhXrF49jw5LxDBw9X5PG0sqWnj9NzYwwNA6evczGPUfYMGssNpYWXLtzj6HTF7J13kTsbK110q/ddYBSRRzp0a45AKevujJqzjLWzfyd4o75AYiIiubnaQtoUKMyC37/GXNTU53XyQwJCfHMnzyY2vVb07pjbxITEvhjyhB2bVpMl17DU823fM4o7PM5MmHuZlQqFWsXTeDPxRMZ/OtcAM4e/4eEuFh+GbcIgMded5kzYQDmOa0oX7l2hsVjXqIwqsQkjPPZfTRt/h7tKfbrAC7W+I74gGByNa5DjcN/cr5SG2Jf+wFQZecSIh8941KtjgA4bZiD07pZuH2fsZ1V7ztz8jB7dm5h9sK1WFpZc8ftOtPGD2f+so3Y5tKN0/2OKysWz2bmH6vI51AQ7+dPGD96MBNnLKJoseSO3nYdu9GgccZ25qTm1Imj7N7xF/MXr8TKyppbbjeYNG40i5b/Sa5cuXXS373txtJFc5m7YDkO+Qvw/NlTfh81lCkz51OseAkAFs6fSbUatfhp2GgAjh0+wKRxo1m9/i8UiowfNHn01Bm27t7Dqj9mY21lyY1bdxg1YRrrlsz/hGuU7mjFZ94vGDl+CpPHjKRWtSrEx8czbvoclq3dwLBB/TM6HCB7nnsAiQnxbF/Ym/I121G75UCSEuPZsbgvZ/6ZR6NOv6WYJzLMn4sHl9Gyx3SMTXISFxPJzqX9ObJlPO36LQDg1vkdJCbE0nnIKgBePbnFX3/0wMTMiqLl6mVKXP8s702Z6u2o3lQd154Vfbmwfx7O7VOP68qRZTTtOh2jt3HtXdWfkzvG06rnAk06M4vcNHOZleExfCgxIZ4/5/Sjct22NGg7gMTEeNbNGcCRHfNp3fXXNPP5v35CQnwcSUlpjyw+smM+/q+fpHfRU5Sdv09kqfduAoovT6ZMW/Dy8mLSpEkMHjyYgQMHMnDgQPbs2cPFixcZOHAgTZo0oUyZMqhUKm7fvk1YWBgmJiYA/P3336xcuZJffvkFQ0NDunbtyjfffIOHhwe//fYbS5YsoV69epqOg5CQEE6cOMH27duJjo7m3LlzmnIMHz4chULByZMncXJy0hy/dOkSsbGxtGjRgq1bt+Li4oKLiwsrV67k9evXzJw5k4sXL/Lrr7+iUqk0HQcpUSqVPHv2DAsLCy5cuICrqyuA5ke+QqFg1KhR/PLLL/zyyy+oVCqaNGnCiRMnCAwMZNy4cVStWpXQ0FA6duzI33//zaJF6i/sy5YtA9RTMmrXrs2pU6eYNm0aQ4YMwcvLi927dzN48GCmT5/Onj170NfX15Rr5MiReHh4sGnTJs1n+6EcOXJgZGT0r+v3c2zZvovWzZtibWUJQNXKFSlYID+79x1INU+Vik50/u5bTE11y+9YsABlSpXQOjZ30TL69OiGsXHmxJRd3bx4lNBgf5q0Ufd6Gxga0rx9L84c2UZURFiKeR7eu8mj+6607NgPAD09PVp16s+ta6d47f0o08qeknW7D9KucT1sLNWdezWcylLIIQ/bDp1MMf0b/0DqV6+kedywZhWKF8rP6SuummMLNuygbhUnerRrkaUX+usXjhESFECztt0AdV217NCTU4d3EJlKXT3wcOXBPTfadOoDqOuqTae+uF49zau3dfXwnitN2nTV5ClWqgKVqjtz9fyRDI3Hd89xni5Y90lpi48dzIs1O4gPCAYg8OQlIr2eUHhoTwBsvqmGTb1qPJ6xQpPn8fTl5P2uGTnLlUjpJTPE7m0baNK8LZZW6i+WTpWr41CgEAf37kwx/d/bN1KzjjP5HNR3cR0LFaVytVrs2bk508r8MTu3baZZi9ZYvY2pUuVq5C9QkP17dqecfvsWatdxxiF/AQAKFS5ClWo12L1jqybNfY+71KvfSPO4Xv1GBAb4Ex2dOaNENm3fTZtmTTTXqGqVnHAs4MCufQdTzVOlYgW+b98W0xTagH1HjlOudElqVasCqK+3A3p25/DJ0wSHhGZIDB/KjucewP2bh4gM9aN6k14A6BvkoGbz/tw8s4WYqNAU8zy6c5qqDbpjbJITACMTc2q3GMADt+MkJqjvyL94dJ1qjX7Q5MlftBIlnBpx73rq31PS0wO3Q0SG+VG5QXJc1Rr35/b5LcSmEtdTj9NUcu6O0XtxVW86gMe3k+PKSneuHiYsxI+6zXsCYGCQg/pt+nLl+FaiI0NTzZfDyIR6rXpTokLdNF//ofslYqMzZ6oxZO/vE0KkJsNHHiiVSpo2bUq9evVYtGgRxsbGJCYmEhkZibGxMcbGxqxfvx47Oztu3bqlGXJuYKAu2q5du7h48SITJkygePHijBs3Dnd3d/bv38/WrVspV64cNjbJw+Xmzp3LqlWrcHBw4KeffmLv3r1cuXKF/fv3c/DgQVq3bs2jR4+oXr26VjlLlizJrl278PPzo1SpUtSrV4+OHTuycOFCfvjhB3777bdUOw1OnjzJunXrUCgUBAQE4OvrS/369Xn06BFmZmZ89532ne/bt29TtmxZDAwMeP36Nc2bN6d37944ODhw9uxZJk2ahIeHB7t3a3/xOnjwIK1atSJnzpz8+uuvxMfHs3btWgwMDGjZsiUtW7ZkyJAhBAcHM2vWLAICAjRTE+rUqcPmzZvZsmULefPm/W+V+h/5+fvj4+dPZacKWscrO5Xn6g3XVHKlzbFAfq3HF69cQ6lUUq5M6sNmxad5cO8mRUtVxDBHcidMyfLVUSqVPPJ0o2L1BinmscvriE2uPJpj9vkcsc6VBy/36zg4FgcgIiyYhVMGkpiQgEKhoHyVb2jY8n/oGxjqvGZ68AkI4o1/INXLaw/TrVa+NBdd76aYp2o53XPI1NiY8MgoAMIiIjl28RqzRvzIiFlLCY+MJC4hgQHff0udyhV08mYkr3uuFC/tpFVXpctXU9fV/VtUqlE/xTz2+Qpq1VUeB0dsctnjefcG+R2LU6p8NZ18RsamhIcGZkgc/5ZJwXyYFilA4OnLWscDT13BrrX6/LR1rk7Uw+fEvvLVPB/16DkxL95g26AmER4PM7ycAf6++Pv5UL5iVa3j5StWwfX6ZZ30iYmJPPD0oElz7WHSFZyqsmndMq1jB/bs4OK5k8RER2GXJx/tO7ngWKho+gfxAX8/X/x8fXCqVEXruFPFKty4dkUnfWJiIl7379GsRWvt9JWqsGFt8kjEEqXKsHr5YvoP+hkzM3P2/rOTNu06aKb5ZSRf/wB8/Pyp4lRe63hlp/Jcuf551yhff3/y5rHXOuaQLw+JiUl4v3yFjbXV5xb3k2THc++dFw+u41C0MgaGye1eoZI1USmTePnoJiUqNtbJY26Zm1x5tcuYw8gMpTKR+NhIDAxtKFSypk4+Q2NTosIyp9179fg6+Qprx1WghDqu109uUrSCblxmFrmxsdeOy/CDuACiI4P4e1lvkhLjUSgUFC5bn4rO3dHXz5hr7ztPPa9TqHhlrWtU0TI11DfeHrhStkqjNHKnLToylFN7V9Br5ErcLu5Lj+KmKbt/nxAiNRneeaBQKPD29kZPTw+VSkVoaCjt2rVDT0+P7du3kydPHoYNG8aSJUuIi4vT3KFPSkoiR44c5MiRg99++41JkyZRtmxZpk2bxuPHj9m/fz9dunRh4cKFlC+vvsBv376dbdu28fTpU+bPn4+7uzvnz5/n1KlTbNq0iWvXrpGYmMj3339PfHw8K1eupGrVqtSpU4fGjRtz9+5dPD09adOmDQDdu3enbNmyfPvtt0ybNi3VGBs3bkzPnj1RKpUULFiQPHnyaE0JmDRpklb6UqVKMW/ePDp06ICdnR3Pnz/H399f53UPHjzI06dP+fnnn7l16xanT5/WrO3Qvn17jh49yvbt2zE3N6d/f/Wwxx07dhAZGUnt2rXx9vbWWtdg//79tGrVCjc3N27fvk39+vU1z/n6+pKQkPDJ9fpfBAaHAOh8WbK2tiIgMCiFHP9OQkICq9Zv4rdhP/3n1xIQFhyApbX22hv6+gaYmVsSEuSXRh7dob0WljZaeTr1GoVd3oIoFApCgvxYt+h3nnjd0ZrakJ4C397hs7Gy0DpuY2mBf1BIinnaNtS+0xEaHoH7wyc0r6f+Ynn/yXOSkpQcvXCNqb/0xdTYGFcPL4ZOX8SfM8ZQsnDmzfsNDQ7AKsW6siA4SLeNeZfH0iqXznELK1tC3uap17id1nOJCQncu32Vbxp/mz4F/4+M3k5riPPV/lIf5x+IsUMeTZo4vwCdvHH+QZo0GS04SF0+K2vt+eFWVjYEBerWT0R4KImJCVh98LdkaW1NVGQEsbExGBubULBwUSZMW4CVtQ1KpZILZ4/z+4gBTJm9TGt4eUYIDla32boxWRMUqPt5h4eHvY1JN33kezGNGjOBxX/Mpn+vrhR0LEyuXLn5ZeSYjAvkPUHB6tErOtcoKysCgj7vGpXHzo5n3i+0jj19rn4cEpbyqKD0lB3PvXciw/wxt9SeHqPQN8DYzJKIkJSvUcWddH+kPrp7GktbB0xzqj8jp7qdtJ5PSozn2f1LONXpmE4lT1tUmD9mFinEZWpJRGjKcRUtrxvXU4/TWNgkxwXg3H4M1rkLoadQEBHiy9HNo3jz7BZt+ixJ3yA+EB4aQM4P6kpf3wBTc0vCg1OO6VPt3TCVFp2HYWyS8R2MkP2/T2Ql2W3hy5YptfNuNMG+ffto06YNxYoVw8/Pj/j4eJ49e0aDBg1YvHgxS5cu1eSJj4/H0tKSJUuW8OrVK4YOHUqTJk1wdnamWzf1kNyaNWsyYsQIZsyYAYCRkRHdu3enT58+KBQK9uzZw549e/Dy8uLcuXPkzZuXAgUKcPKkepG+9xc+XLJkCWXLlsXBwQGVSsWmTZtYtGgRU6ZM4dKlS9SsWZMZM2Zw8OBBrl27RlJSkk6cJ06cICAggOjoaBYuXEhAgO4XJ1BPYfj222/p1q0bzZo1Y8uWLSxbtkwzYmHDhg2cO3eOefPmsXfvXry9vbG1teXYsWNYWlpqXqd58+YsWrSIRYsWsXLlSlauXMns2bMZN24cTk5OVK2afIchKiqKffv2Ubt2bcqWLcvOnTvx8fHh999/x8PDgz59+jBr1sfnv8XFxREeHq71Ly7+84bCvT+t4h2lSvlZr/W+C5evYqCvT9nSMuogvaS2OJNKpUo9j+LjefI4FNLMX7a2taf30BncunaKl88f/IfSfpxBiude6rG8o1KpmL1mK0ULOtC8rnr00rs7Bl1aNcL0bednlXKlqFq+FHtOnEv1tTKKIoXYAFRp/G2llie1v8fdW5agb2BA0/emMnwJVCnssqOn0Hvved12+8M0mSGlti/Nv6XU6lSpzpMzp4XmR6FCocC5YXPqOjfm7+2ZtwPPv40ppfSQHNO50yfJlcuOVX9u5dv2HXn54jm/jxpKdHRU+hT4E/zbmNLSvlVzPB884uipswAEh4Ty9/5DgG4nRUbKjuee+r3/fbv3vjfP7+J6ZiuNO/+eapqze/5AX9+Aao17fk4RP8t/jcvX+y53zm/F+TvtuGzsi6D39tqb0zoPzbvP5fGd4wS89vpvBf4E//Z68ylcL+7D1r4ghUpW+XjidJadv08IkZIMH3mQlJTE3r17uX//Po6OjgwePJiRI0fSrl07mjVrRrly5XBxcWHgwIFaiyDFxsZiZ2eHi4sLffv2xdnZmWHDhtGqVSuePn1K8eLFuX79utZ7tW/fnvbt27N8+XJ+++038ubNS7t27ShRInk+a3BwMJMmTeKff/7h4cPkYaqmpqbMmTOHypUrM2rUKHx9fWnbti3Dhw+nXbt2jBo1irVr1xIVFcXWrVu1VvR/Z/78+YwaNYotW7ZQs2ZNSpYsyfbt21P8XMqUKYOVlRXx8fEsW7YMLy8vzYiFd9MWZs6ciZ+fH46OjgAULFhQ5/VUKhXDhw+nVq1aAJw6dYrx48dTurR6GFVAQABbt25l3759fPPNNwA0aKAexhsYGKhZwLJatWpaIxFSM3PmTCZPnqx1bNiQHxn+U+rrQHwo19tpJiGhoVoLT4WEhGKXS/cO6L91+Pgp6taq8fGEQsdr70ds/zO5E8k+XyGsbO0ID9W+25aUlEhUZBg2tvYfvgQAVjZ2PHlwR+d4eFgw1rnUeVQqFYkJ8VrDF61t7TG3sMbv9XMKFEr/u1a5bawACA4L11rMKDgsHPsUFjd6n0qlYs7av/AJCGLR2KGaqVW2b+dE58+jveBYnlw2qd59SA+vvB+xdc3c5PdzcMTaxo7w0GCtdOq6CscmV8p1ZW2Tm8deKdRVaJDWVIZ3Dv29DrdrZxk1eQWmZjn/YxTp492CiDnsc2n+D2Bkl4uYt9MUYl/7Y12rkk5eIztbTZqMZmOrvuMWGhqitUBdaGhwigvWWVhaYWBgSNgHdRoWEoKZmTkmb+fDxsXF6axXU7hICY4e+ie9Q9Bha6tus0NDQrQWRwwNDcE2t+5iiZZvYwoN0f7bCA0NwcxcHdPd224cP3qIhcvWoFAoqFn7G6pUq8Hvo37h4L5/6Py/jF11PJet+hoV/OE16oPH/4ZjgfwsnDmFzTt2c+DocfLY29GmRRMuXbtB0UKO6VLutGSXc8//9QNObE8eCWpjX5icVnZEhWtfo5RJicRGhWFh8/Fpmv6vvNi9bBBNu4xLcYoDwOUjq3h4+wT/G7ZBs05Cegp884Azu5PjsrYrjLmlHVERKcQVHUZO64/HFfDai31rBtGg4ziKvTfFQaVSkZQYrzUdIqd1HkzMrAn2e0puh/S58eL78iH7Nk3XPM6dtxAW1nZEhul+n4iODMPK5vNHgHk/cMP/zRNWTU9eo+LcwbWEBvnQuP2nfz/9N7LT9wkh/o1MmbbQpEkTGjRowK+//kpERAT79u2jR48eeHl5sW3bNmbOnKmznkBQUBBFihRhw4YNdOzYEU9PT5ydnXVWWf7zzz9p2LAhhQsXJiIigkWLFrF+/XoKFSpEdHQ03333HQcOHMDPzw9vb29q1lQPDTp37hydOqmHpF28eJHFixdz69Yt/v77bxQKBQsXLmT//v2MHTsWf39/jh49iq+vLwYGBlhb6zYKR48epVq1ajRu3FjTedCjRw92795Nvnz5dNL7+PgQExPDgQMH6N+/P0ZGRpqRB8+fPycqKoqGDRsSFhaGp6cnDg4OqX7Gz549I2dO9cXM29tb6zPKnTs3HTp0YPbs2VojLYKDgwkODqZ48eJar/V+h0JKxowZw/Dh2qu2B7x4nGr6lNjb5SZf3jzcdr9HiWLJc/Pc7rhTpZJTGjk/LiQ0jNvuHvTs1uU/vc7/Vw6OxRkxRXsLpKvnDrFz3RySEhM0axE8cL+Ovr4Bxcuk3Mtfqnx1Du1aTXhYMBaW6i/ifm+8CQn0pYyTuqPr/PHdXL9wmFHT1mvyxURHEhUZhq2d7t9MesiTy5b89rlxvfeAUkWSv7DfcPekulOZVPPFJyQwddkGAFZOHomxkRFb9h/DpW0zCufPh4G+Pq99A7C2SP5S+co3gML5MyYOgPyOxfl12mqtY1fOHuavP+eRmJiAwdu68nS/gb6+ASXKVE7xdUqVr8b+nWsJDw3G4u12a76vvQkO9KNsxeQ5vyqVip0bF/Li6QPGz9lITgtrjuzZRIv2PTIowk8X+9KHqMfe2NarTrjbPc3xXI1qEXjiEgBBZ69SfNwgcuS20SyqaFa8ECYF8xF44mKmlDO3nT32eR24f/eW1pBu99uuOFXSXVdCX9+A0mUrcM/9FjXr1Nccv3vnJhXeSz+kb2d+GjGeCu/NZ/f398HOLuPXt8ltZ0+evPnwcL+t2SkB4M5tVypWqqqTXl9fnzLlyuPhfpvadZNXrL9zyxWniur25Pnzp9jZ22tdywwNc1C8ZKlMGXlgnzs3+fLYc8f9PiU/uEZVrfj516gyJYszc0Ly1It1W7bTtKEzOTNhHYfscu7ZOZSk2wjtBRs9ru7jxM4ZJCUlaObsP39wFYW+AQWK656D73vx8DqHN4+jTa/ZFC5Th/s3DpG/aGVNp4NKpeL033Pwe3GfH8bswtTchqvH1lKzWd90jStXvpJ0+lk7Ls8b+zj7t3ZcLx+q48pfNO24Xj26zont42juMhvHUnV44HqIfEUqk9M6L3cvbcfr5gG+/+UvTfq4mEhio8OwtM2fxqv+O3kKlGDAWO0RKLcu7efAlpla3yee3L+GvoEBhUulHVNavuujfVPrt+5lcG7dN0O3asxO3ye+OLLbwhctU6YtbN26lUWLFjF8+HCmTp1K9+7d+fbbb8mdOzchISHExsYycuRIEt8bcvrkyRNq1apF9+7dadOmDc2aNePQoUM4Ozvzww8/YG9vT/369Zk8eTIuLi4kJSWhUChwc3Nj8ODBTJ06lVOnTjFq1CjOnz/PqFGjNHf2z549q+k4AKhbty716tWjbNmymi8rgYGBVKiQvDiJnp4euXPnTrHjIDw8nBs3bjBt2jR1j+7bKQ0zZsxgwoQJKX4mc+fOZc6cObRp04bZs2cDaMrXs2dPnJ2defnyJeHh4Wl2HAD89ddfzJo1i1mzZrFr1y6d5wsUKICRkZFm60hQd544OTlpOh3e2bt3b5rv9e513v9n9Bl7VPfo0ol9B48QFhYOwA23W7zx8aFTO/XiTFPn/MHfKaxqrVKpiI2NIz4+5fUZHjx6jEqlokgm3Mn5/6Jq7aZYWNly6pD6i0ZCQjxH/llH029/wCynupf8gccN5o7rRWS4ume8WOlKFC9bhUO71D9uVSoVB3etoka9VuQroP4yXqREeZ4/vseta6cB9d2HHevmULZibQoXL/9hMdJNn06t2X30DKHh6hWZr96+xyvfALq2bgrAuIWr2f7eSslBoeEMn7mEimWKM/WXfhgbGREWEUnC2/bK1sqCNg3rsmrHPmLfTuG57ObO3QeP6dDMOcPiSEm1Ok2wsLLh5MFtgLquDv+9nubtumP+tq68PG4y8/c+RLytqxJlKlGybGUO7FoLqOtq/8411HJuiUOBIgDExkSzfM5ojIxNGTFpOTktrElKStS8RkbSN1Pf4VS8t2uKnqEh1Y+sI2/HFppjj6Yto9AgFwzf3vHJ1aQupkUdNbs1hFxyJfj8DYqPTe6oLj5uMK+27iPSM3O29QLo9L+eHDn0D+FhoQDcdr2Gr88r2rRXd3gumD2RQ/uSV7/v8P0PXDx3Ep83rwB4/vQxt12v0bFLT02a0uUqsm3TauLj4wB49uQhZ04c5rvvM2df8O+79uDwgb2Ev527f8v1Br5v3tDuO/V1dt6sqezfm7wAcKcuLlw4exqfN+otkZ89fcIt1xt831XdEVW1Wk0eeN7n5vWrmjwPvTy5fPEc3zg3zJSYfvhfJ/YcOkJYuPoadd3tNq99fOncTr0m0pS5C9i975BOPvU1Kpb4NKbzRUZFsWXn31x3u82PvTJv7/bseO4BlK7aAjMLW26e2gSot/W7cmQVNZr2wcTMCgDvB9fYPLcr0ZHJIynuXNzFpUPL6Tp8E4XL1AHA19sDcyv1Xd/42Cj2rPqZHEam/O+X9Zia26BMStR6jYxUolILTHPacutsclzXT6yiaqM+GL+N6+Wja+xY2JWY98rkcWUXV48tp+OQTTiWUsfl99IDM0t1XHkLVcTvhTuP75wA1KMZzv4znUKlvyGPY8Yuyle+RnPMLWy5dGyzJqazB9ZQr2VvTM3VMT3xvM7KqS5EReheX+LjoklMiEvzPZRK9XfwT53a8V9k5+8TQqQmw0ce6OnpMWDAABQKBZs2bWLp0qUsWbIEZ2dn5s+fT+7cuRk3bhy1a9fm+PHjjBgxgk6dOnHu3DlWrlyJubk5ZmZmxMbGArB8+XLy5s2Lubk5hoaGxMfHExsbi56eHmZmZmzZsoW7d+/i6urK/v37qVevHi1bfnz/4cjISK2pCDdv3tQsQvgpeceNG4eenh4JCQkUKlQIUE+FSGnLJnd3dywsLKhduzbPnj3jzJkzKb5uQkICM2bMYMyYMZqtKFOycOFCzZSDgwcPMmTIEK3nAwIC8Pb2Juy9RZmWLVtG3766PefXr1+nd+/eGb6PdpOG9YmJjWXU+MmYmJhgaGDA3GmTNHM/vV++1GyR9c6uvfs5fuosYeHh/LF0BRXKluH3kb9opXn4+Al2uXOluJ2j+DwGhob8PH45f62ejtuVkyQpk6hQtR6tOw3QpIkIC8bn5VNiY6Mxt1D/eBswch7b/5zF9NFd0QOKlHSiQ/dfNHkKFC7F0PEr2L99OScPbCE2JpKS5arRtV/qc07TQ4t6tYiOjeOnqQswNTHG0MCAJROGYft20aNnr3w02y4FhYbTa8x0FHp6nLx8k5OXbwLwxi+AoT901rzmLz90ZtnWv+n123TMzUwxUChYMn44hRwyd2cTA0NDRkxcyqaVM7l55RRJSUlUrFaPtp37adKEhwXz5uUz4mJjyPm2rgaNnsPWNXOYPNIFPT09ipYsT+ceQwF1B8T0X3sSER5CZEQYcz3Uq82HBgfg3DTj7uoAlJo5Cvs26gXAqu1did+BU3iOno0ihyE5SxfDOH/yVIzXW/ehb25KjWPrSYqIQhmfwLVmPYn3Tx4i6/r9z5RbNJ46V/8GlYqQq7fw+m2uzvtmJOeGzYmNjWHKuGGYmJhiYGDAhOkLNfPGX718jqVV8sJmZStUYuBPo1kwewLGxqYolUmMGjudgoWKaNIMHjqGnX+tY8KvQ1Ao9DEwMGDkmGmUKpM5q3M3aNSU2NgYJowdqYlp8ox5mphevvDWbOMIUL5CRQb9PJy5MydjbGyCUqnkt/FTcCxUGIB8DvmZOHU2f21ez+4dW9HX18fAwJDRv0+iaLHM2VazaQNnYmJiGTF+CqYmJhgYGDB/6oTka9SLVzrXqJ17D3Ds9DnCwiOYt2wVFcqWZtyIoZrnF6xYw5Nnz9FX6FOnRjWWzJ6KoWHGrm7/vux47oF6C8MuP//J0b8m4eV2DGVSIsUqNKRu68GaNNERQQT6PCE+NhpTcxsuHV7Bhf2LcShaiQPrRgGQlJhAQnwMDRX6JCbEs3H290RHBBMTFcpfD9XTZCNC/an0TecUy5ERcX036E9O7ZzEo9vHUCoTKVKuITWba8cV7PuE+LhoTMxtuHZsBVcOLyZv4Uoc3ZwcV2JCjGb9BLv8pflu0DouH1qE29kNxMdGkr94DRp1mpjhMRkY5KD36DXs3TAF9xvHUSqTKF2xPo3em1oQFR6E/5snxMVGY5ZT3W5ER4ayeeHP+Lx8SFxMJMsn/48m3/1E8fK1dd5j/yb1OmgXj26iUp02GBj8+xtcnyo7f58QIjV6qs9d/edfOHnyJLt27aJKlSo4OTmxe/duPDw8uHDhAv7+/piamrJhwwYGDBjAxIkTqVOnDpcvX6Z///6MHz+eUaNGkZiYyIwZM9i/fz/Bwck9rAqFgunTpzNs2DDOnj1Ly5YtqVq1Kj///DPt2rXDzMwMgLVr1zJt2jSeP3+On58fLVu2ZMeOHRQrVgyADh064OPjw+XLlzl06BCLFy/myJEjKBQKzp49S+PGjbVGRrxTpUoVoqKiyJNHPVdLpVLprIfw/PlzihQpwunTp4mJiWHp0qWMHDkSPT094uPjUSqVmt0PatasqZm24ODgwJ07d+jZsyfr16uHdm/bto1FixZx9ar6jkyZMmVYvnw51atXZ8eOHZw7d47z58/z9OlTzfufPn2aRo0asXXrVrp27cqECRN48OABf/31F/r6+tjZ2TFt2jQqVqxI69atmTJlCgMHDvzk+n310OOT034t8pcol9VFSHdnPWKyugjpzinp+scTfWXuG2b+gk8ZLdQp+8VU4P6FrC5ChjBUZM6uO5nJMvG/7+LzpQlUZM4OIZnJ7bXu2gtfu9i0b5J/leytU1549mtW3yhzpq5lNmunr3O0QsTNo1ldhFTlrNo8q4uQ5TJ85MGTJ0/IlSsXq1at0hwrUKAA9erVY+PGjZo78z179qRFixbY29uzZcsW+vTpw6VLl1i0aJGmZ379+vWoVCqePXvGixcvCAwMxNLSkiZNmgDQqFEjzp8/T5066mFaw4YN49atW5r3LVSokOYOfc6cOVmzZo1mykClSpVISkpix44dBAcHc+jQIc3dd6VSib19youNGRkZMWPGDJo1a5bqZzBjxgy8vb0B9QKSI0aM0HQwvBtREBsbS4MGDThy5Eian6dKpdIseAjg4OBA/vz5MTU1xcXFhZ07d2p2o3jnm2++YcSIEZQtW5bBgwdTrlw5Jk+erClDw4YNGTx4MElJSeTOnVvToSKEEEIIIYQQQkAmjTwQX4bz589TvXp1jN9u/5JeZOTB10FGHnwdZOTB10FGHnw9ZOTB10FGHnwdZOTB10NGHqQ/GXmQCSMPxJejXr16H08khBBCCCGEEFlAJbstfNEyZbcFIYQQQgghhBBCfL2k80AIIYQQQgghhBBpkmkLQgghhBBCCCGynp7c2/6SSe0IIYQQQgghhBAiTdJ5IIQQQgghhBBCiDTJtAUhhBBCCCGEEFlOhey28CWTkQdCCCGEEEIIIYRIk3QeCCGEEEIIIYQQIk0ybUEIIYQQQgghRJZTyW4LXzSpHSGEEEIIIYQQQqRJOg+EEEIIIYQQQgiRJpm2IIQQQgghhBAi68m0hS+a1I4QQgghhBBCCCHSJJ0HQgghhBBCCCGESJNMWxBCCCGEEEIIkeVUenpZXQSRBhl5IIQQQgghhBBCiDRJ54EQQgghhBBCCCHSJNMWhBBCCCGEEEJkOZXstvBFk9oRQgghhBBCCCFEmqTzQAghhBBCCCGEEGmSaQviP3scXzSri5Du8md1ATKAsUF8Vhch3d3Vq5bVRUh3eipVVhch3RW4fyGri5DuXpb5JquLkCGKeJ3O6iKkO/Mov6wuQrqLsrTM6iKku5L24VldhHSXHa+7fx4wzOoipDu75lWyuggZok5WF+BzyW4LXzQZeSCEEEIIIYQQQog0SeeBEEIIIYQQQggh0iTTFoQQQgghhBBCZDnZbeHLJrUjhBBCCCGEEEKINEnngRBCCCGEEEIIIdIk0xaEEEIIIYQQQmQ5FbLbwpdMRh4IIYQQQgghhBAiTdJ5IIQQQgghhBBCiDTJtAUhhBBCCCGEEFlOdlv4skntCCGEEEIIIYQQIk3SeSCEEEIIIYQQQog0ybQFIYQQQgghhBBZT092W/iSycgDIYQQQgghhBBCpEk6D4QQQgghhBBCCJEmmbYghBBCCCGEECLLqeTe9hdNakcIIYQQQgghhBBpks4DIYQQQgghhBBCpEk6D4QQQgghhBBCZDmVnt4X++/fWrFiBZUrV+abb76hTp063LhxI9W0iYmJzJ49m9atW1OjRg2qVq3KsWPH/stHmSGk8yCd7N27l/79+xMXF6c5tmPHDn799VcCAwP/1Wt5eHgwY8YM7t+//9G0L1680HrP48eP4+rqmmaeHTt20KFDB6Kjoxk2bBjDhw//V+UTQgghhBBCCJGyDRs2MGPGDI4ePcqFCxeYOHEiTZs25dWrVymmnzRpEiVKlODgwYNcu3aNMWPG0LZtW+7evZvJJU+bdB6kk4iICB4+fIiRkZHm2Pfff8/58+dZunQpACtXrtT6oZ+UlIS3tzfHjh1j7ty5fP/99+TLl486derw999/M27cOHx9fXXea8eOHaxatQqVSoWBgQEtW7YkNDQUgEWLFtG1a1fCw8O18rx69Yq9e/eyd+9erl27hru7O8ePH+fWrVu8efOGvXv30rlzZ65evZoBn44QQgghhBBC/P8wZcoUBgwYgJ2dHQBNmzaldOnSLFiwIMX0z549o3379prHHTp0oGLFiuzatStTyvupZLeFdKL33lCWX375hdu3bwPw5s0b/v77b44fP86VK1fw9PRk0aJFvH79mhMnTnDjxg0aNmxIjhw5qFGjBsuWLSNXrlzMmTOHGjVqkCdPHp336ty5M3Xq1MHT05OFCxdiY2PDmDFjmDFjBjdu3ODy5ctYWFho5bG1tSV37tw4ODjw+PFjcuXKRcWKFbG2tiZPnjxUrFiRESNGaHVuZIbgAB+2rZ1FRFgwiYnxlHaqRbuuQ9DXT/3UjIoIY+f6ufi8eopKpaJgkVJ06jkKYxNTTZpFUweRmKAdS5ESTrR3+TnDYsnOggJ82bRqLhFhISQkxFOuUg06uvyYZj1FRoSxde0f+Lx6jlKlolCRknTtM0yrnkKDA7njeolTh3fTpPX3fNOodWaEA0BQgA/b1swiIiyExMR4yjjVol23wR8993asm4vPq2eac69zr5FaMb2jUqlYMHkgxUpVom2XgRkZihZ1XLMJDwsmMTGBMk41af8JcW1fN+9tXEoci5Smc68RacT1I8VKVczwuI4d3sOpYwcwMjJBpVLSs9/PFCtROtX0Vy+dZe/ureQwMiI+Lo7vXfpSqUoNzfP37t5i9fJ5WFnZaOXrP2QUDvkLZlgc7zMvWxz7lvUpNKQHl+t1Icb7dZrpCw74HwX7dCIpKgYUCu6PmEHYTXfN84bWlpT543fMSxVFT6FH2K373B8xk6So6IwORcuRQ/s4cfQQRsYmqJRK+gwYTPESpVJNf/nief7ZtQ0jIyPi4uLo2r0XlatW1zz//NlTNq5bRXR0FHGxsRQuUoze/QeRM6dFqq+Z3nafuMDe05cwMTJCqVIxvEcHyhZ1TDFtYlISWw+d5rbXY0LCI1Eqlfz4fRtqOZXRpHn84jWLtu4lKiaW2Lh4Sjg6MKxHByzNzTIrJA4fOsCxo0cwMjZGpVTSb8CPlChRMtX0vj4+3Lhxjf379/LTz8OoUMFJ6/mkpCTcXG9y6eIFAgMDmDZjdkaHkKKgAF82r55DeFgIiQnxlKtYkw6fcI36688/8Hn1DKVShWPRknTtPTzFa9TpI7to3Op7vmnUJjPC4fjhPZw+th8jI2NUKhU/9BtK0TTavmuXzrBv9xaMjIyJi4uls0s/KlapmWLae3fdmDZuKNv2X8io4qfJOqcenRuaYG6qh4G+Hl7eiRy4GItS9Wn5q5c2pFVtYyb+GaF1vE75HFQrbYgKMM6hx1m3OK7dT0j/AFIQFODD1jVz1NfdhATKVqzJd90GffT827Zuvvq6q1TiWKQUXXprX3cfed7m0N/riY+LITwshCo1G/JtlwEoFNn73q9K7+uPz9vbm2fPntG4cWOt440bN+bAgQMp5mnYsKHOMXNzc4KDgzOkjJ9LOg/+o1evXvH8+XMePnxIWFgY/fv357vvvqN8+fLUqFGDcuXK4eHhQf/+/Xn58iX58+cHwMHBgZ49e/L69WsOHz7Mn3/+Sc2aNWnYsCEmJibMmjWLxYsX67xfWFgYe/bsYejQoRw8eBCAmjVrEh0dzbp161i8eDHFihXj9u3blC1bFkNDQwCMjIxo06YNFSpUwMfHh6CgIHr27Imnpye3bt3i9u3b+Pj4YGJikmmfXUJCPAun/EjN+q1p2aEviQkJLJ42iH82L6JTzxGp5ls5dwT2+Rz5fc5fqFQq1i8ex4Yl4xk4er4mjaWVLT1/mpoZYWR7CQnxzJ34E3UatKRNp14kJiQwb/LP7Ny4lP/1/iXVfEtm/UYeh4JMmr8RlUrF6oWTWLNoMj/9lvzlMijQj6jICKKjIzMhkmTqc28QtZxb07JjHxITElg0dTD/bFpEp16pn3sr5o7EPq8jY+duRaVSsW7xeNYvGc+P751775w8uBWvu9cpVqpSRoaiRR3XYGo6t6LV27gWTh3M35sW07lX6tOTVswdhX3egoybu+W9uCbw4+h5OmlPHtyK593rFCtVMQMjgTMnD7Nn5xZmL1yLpZU1d9yuM238cOYv24htLjud9O53XFmxeDYz/1hFPoeCeD9/wvjRg5k4YxFFiyX/OGrXsRsNGrfM0LKnxbxEYVSJSRjn043hQ/l7tKfYrwO4WOM74gOCydW4DjUO/8n5Sm2Ife0HQJWdS4h89IxLtToC4LRhDk7rZuH2feZ1lJ46cZTdO/5i/uKVWFlZc8vtBpPGjWbR8j/JlSu3Tvq7t91YumgucxcsxyF/AZ4/e8rvo4YyZeZ8ihUvQWhIMON+HUbXHr1p2fpblEolyxbPZ8GcGUyYOitTYjpw7irr9x5j84xfsbHMydW7nvw0cynbZv+Ova21Tvo1uw9TqkhBfmjbBIDT124xYt5qNk4bRXFHB4JCwxkwZREDO7emU9N6KJVKpq/ZxvilG1n826BMienkiePs3LGNhYuXYWVljZvbTcaPG8Oy5atSrCcAX18fEhISiAiPSPH5hIQEXr58QVx8HIlJSRlZ/FQlJMQzd9IQ6tRvpblGzZ/yMzs3LuF/vYelmm/p7F/Jk68gE+dtenuNmsiaRZP46bc5mjTBgX5ER4UTHZV516izJw+xd+cmZi5c97btu8aM8cOYs2xTim2fxx1XVi2exbQ/1pDPoSAvnj9h4ugfGT9jMUWKaXfgRUdFsmLBNFRKZWaFo8VAHwZ3MOP6/QSOX49DXwGDvjPj22+M2XM+9qP5rXPq0amhCdGx2j0NlUoYUrmkIcv/iSI+UZ1u5P/MCY1U8uBFxp6XCQnxzJ88mNr1W9O6Y28SExL4Y8oQdm1aTJc0rrvL54zCPp8jE+ZuRqVSsXbRBP5cPJHBv84FIDw0mEN/r+PHkbMxMjYhPDSYySO7YWxiRov2PTI0JpG6uLg4nRutRkZGWiPPQX3zGNC5CWxvb5/qtIU+ffpoPQ4MDOTKlSt07979vxY7XX39XTtZLGfOnFhaWmJqaoqBgQE///wzpUuXpm7dujRo0ACAtWvXMnXqVBITE9m8ebMmr7u7O/379+fIkSOAejhLTEwM69evZ+bMmbi4uLBhwwZev06+M7V8+XKOHj1KSEgIderUYeXKlZiYmJA7d25evXpFaGgoK1eupFGjRjRp0gSVSt3Aurm5kT9/fs6ePUvr1q0ZMmQIZ8+epUmTJvTs2ZOzZ8+yatUq/Pz8tN4vI928eJTQYH+aoeg1RwABAABJREFUtFH/URgYGtK8fS/OHNlGVERYinke3rvJo/uutOzYD1CP+GjVqT+3rp3itfejTCn3/zfXLhwnJCiAZt92BdT11KrDD5w4tJPIVOrJy8ONB/fcaNupN6Cup2879+bmlTO8fP5Yk65oibK0bO+CbS77jA/kPTcuHiU0yJ8mbV2At+fed704fWR7qufeg3s3eXTPlVad+gLqmFp36setq6d59cG599r7MfdvXcE6l+7IoYx04+IxQoL8afpeXC0+GpcrDz+Iq1WnfrilEte9W1ewyYS4dm/bQJPmbbG0Uv9Qc6pcHYcChTi4d2eK6f/evpGadZzJ56AeQeBYqCiVq9Viz87NKabPKr57jvN0wbpPSlt87GBerNlBfID6rkPgyUtEej2h8NCeANh8Uw2betV4PGOFJs/j6cvJ+10zcpYrke5lT83ObZtp1qI1Vm/rqlLlauQvUJD9e3annH77FmrXccYhfwEAChUuQpVqNdi9YysAZ04dx8zcnJatvwVAoVDQq++P3L51kyePH2ZCRLD2nyN816guNpY5AahZoTSF8uXhr8NnUkz/OiCIBtWS78o3rFGJEo4OnLx2C4DDF66T08yUTk3rAeqYfnFpz7W7nng9e5nB0aht27aF5i1aaeqpcuWqFChQkL17/kk1T8VKlfmuQydMTXVHIQEYGxvzXYdOVKlSLUPK/CmuXThO6IfXqO9+4OThtK5Rrjy450YbrWtUH1yval+jipQoS4t23bHJxGvUP9s20Lj5t++1fTXIV8CRw3t3pJx++3pq1KmvafsKFipKpWq12btzk07adSv/oFRZJ53jmaVKSUOszBWcdlX/+EpSwokbcThXyoGpcdqL0ekBXZuY4OmdqPNcsfz6uD9JIP7tUyERKp75JJHXVj+9Q9Bx/cIx9Xektt0A9fnXskNPTh3eker590Bz/ql/LOrp6dGmU19c37vuhoYE0rpjX4yM1Tf1LKxsKFKiPC+fP8jwmETqZs6ciaWlpda/mTNnpprewED3Pr3yEzrvVCoVAwcOpHz58nTr1u0/lTm9yciD/8jS0pLy5ctz584dzMzMeP78OfPnz0elUhEYGEj9+vV5+vQpt2/f5tmzZ7x+/ZoyZcpgamrKt99+S8GCBbG1taV+/foAnD9/nsePH1OsWDH++usvLl68SJEiRbh69SpPnjxh3LhxHDx4kPr162tNlQB1b5i3tze3bt3i119/5fvvv9ekCQwMJH/+/NSpU4crV65Qu3Ztzp49i6enJxcvXuSff/5BoVDg6elJ165dWb9+fYZ/dg/u3aRoqYoY5kjurStZvjpKpZJHnm5UrN4gxTx2eR21frzY53PEOlcevNyv4+BYHICIsGAWThlIYkICCoWC8lW+oWHL/6FvYJjhcWU3nu5uFC9dgRzv1VOZClVRKpU8vH+byjWcdfN4uJInX0Fscyd/4crj4IhNLns83W9SoFCxTCl7ah56uFLsg3OvVPlqaZ57Dz1cscuX8rn3wP0G+d+ee4kJCfy1Zia9h05j3rg+Oq+TkR543KRYKadU4rpFxer1U8xj/0Fced4+9tKJaxa9h05l7ri+GRpHgL8v/n4+lK9YVet4+YpVcL1+WSd9YmIiDzw9aNK8rdbxCk5V2bRumdaxA3t2cPHcSWKio7DLk4/2nVxwLFQ0/YP4j0wK5sO0SAECT2vHG3jqCnat1eenrXN1oh4+J/ZV8to4UY+eE/PiDbYNahLhkfE/tP39fPHz9cGpUhWt404Vq3Dj2hWd9ImJiXjdv0ezFtpTlJwqVWHD2pVvX9MP+zx5tZ43NzcnZ04Lnj99QtFiGdsx4hMQzBv/IKqX1x7OX718SS64eqSYp1pZ3TKZGBsRHhkFwJuAIPLZ2Wo9n9PMFMucZjz0fkWpwgXSqfQp8/fzw8/Xl4qVKmsdr1ixEtevfd1rHXl5uFLsg2tU6Y9co7w83LDPVxDb3O+1e5pr1I0su0ap2743KbR9VXG7fkknfWJiIg89PWjcvJ12eqeqbFm3VOvY5XMnsbS0pkChIlw8ezzdy/4piuc34OmbRBLfGwzw8EUiCj0o6qCP+xPdjoF3GlczwuNpImYmejjaa3cKPPdJolVtY568TuSlvxKHXApsLRRs88z4aQte91wpXlr7ulv63XX3/i0q1aifYh77fAW1r7vvzr+76utuwcLabYr3Uy+eP75Hv1+mZVgsXwoV/35Xg8wyZswYnYXmPxx1AOoR5gB+fn6aUefvHhcokHZ7r1KpGDRoEM+fP+fYsWOaUeRfCuk8SAdPnjzhwoULPH/+nIiICPbu3YulpSVjx47l4cOHHD16FGNjYx4/fsz9+/cpWLAgjRo1YsCAAYwePVqnE+DJkyeEhoZiZ2fHgAEDGD9+PBYWFpQvXx5XV1fKlSuHq6sr+vrajWePHj0IDg5m9uzZjB49Wuu55s2bY2dnx4IFC/jxxx9xcVHfmezevTvly5enRYsWtG7dGmNjY+bOnZuxH9hbYcEBWFrn0jqmr2+AmbklIUF+aeSx1TluYWmjladTr1HY5S2IQqEgJMiPdYt+54nXHa2pDeLThAYHYGWjW0/m5hYEB/qnkicwxXqytLJJNU9mCg1J7dyzICQotZgCsLT6+Lm396+lODfriG3uvDppM5o6Lu3hx8lxpf43ZZFCXDk/iGvPX0upl0lxBQepd6ixstZem8DKyoagFM6fiPBQEhMTsPrgnLO0tiYqMoLY2BiMjU0oWLgoE6YtwMraBqVSyYWzx/l9xACmzF6mNbXhS2D0dlpDnK/2bj1x/oEYO+TRpInzC9DJG+cfpEmT0YKDg4CU6sqaoEDdsoWHh72tK930kW/rys7eHteb11CpVJrrY0hwMOHhYYSFhWZMIO8JCFG/h62V9voKNpY58Q9O+f2/bVBb63FoeCTuj57R8hv1Og75ctty+fZ9rZgCQ8MJjYgiJDzjh8QHva0na2vtKRdWVtb/ekeoL01K1xvNNSqVdi+19tzSyobgVK4BmSHkbdv3YTyWVjYp/j29a/ssP/h7srS20Wr7ggL9OXFkL79P/YNL505kXAAfYWmuR1iU9pQDpQqiYlVYm6c+GDp/bgVF8umzal80LWvp/lC74ZmAcQ49hnUxx9s3CQtTPVbujSYq9hMXUvgPQoMDsErl+0Rq55L6/Mulc9zCylbnO4i722V2blhIYMAbvu85jBJlMm8qpNCV0hSFlBQsWJCiRYty9uxZqlRJ7lw/efIkTZs2TTVfXFwcPXv2BNQ3lE1NTZk7dy6jRo36z2VPL9J58B+NGTOGWbNmYW1tTYUKFShbtixt27ZFT0+Pq1evUqxYMZo3bw7A8+fP8fX1ZcmSJeTIkYNu3brRq1cvLl26pOmhAvDy8iIiIoIDBw6wf/9+zZAXQ0NDKlasCECNGsmLgF28eJGzZ8/SoUMHxo4di7GxMbGxsRgbGwNw8+ZNHj58yJUrV/Dz8yMyMpKVK9V3eEqXLo2FhQVt27bF2dmZESNGkCuXboP2TkpzfeLjlVo9/v+GIpXFZN5Nt0gxj+LjefI4FNL839rWnt5DZ/Bb/2a8fP6AAoW+rB8JXwOFIuWhf6r/Y++uw6LM3gaOf+lUEBDsRiwEA7u7u7tr19VdY63Vde3W1XXtTtbAbtcuwALBxgaU7px5/xgdHBnY1SX0996f6+K6mGfOeeaceXLu54Qy7aZXX5InK+mlVb50mpPp6qWf54G3BxFhwVSp3fy/F/ALpVUvRTqjUX0aiPxA+T6Pql4hVK3d7L8X8DNoK1e654Z/qMfHg+3p6upSt0EzfLxvs3fXZsZPmf0fS5s5lEmpn8Tp6Op89L72/rwfp8kKn7ut0tvnGjRuxl7Xnbju3EaX7r2Ii41l2+Z1GBubpAo6ZCY9LYOS/Zvzl1KpZM76XZQomI/mNVXN+VvVrcqmAydZv/84A9s3IyYunpW7DmJqbIT1+64RWUH7dvo6zsn/RVoD0ym/6LyX/d/H526n9OqiVCpZt2I+A4b9hIGBYYaV8Uul9fXqpHHK0teDjvVN2Hgk7UFg89noUqaIPot2RpGUpGqlMK6HORsOx3D/RdqtGTJKmtee9O6R0sij+CSPY8UaOFasQfA7f/5cOIF3ga/p3EcG//4WTJs2jalTp9K3b19sbGw4ceIEjx8/Zv/+/QB069aNatWqMXr0aEDVKqFHjx506tSJ4cOHAxAcHExCQkJ2VUErCR78R927d8ff35+6deuyefNmypUrx8mTJ1m5ciWWlpbq6RFHjRrF48eP1U1PBg9W9dnftGkT7u7uPH36lK5duxIaGkrJkiVZs2ZNqlE3k5OT0dXVTdVSYdKkSVSqVEk99Ud0dDSVK1dm1KhRDBs2jMqVK1O5sqoJn5eXF8OGDSMmJoZGjRoxe/Zs6tWrx9y5c+nQoQNOTun3hZszZw7Tp0/XWNZ3+CT6jZiSbr7Xzx+xa33KQFd2+YpgaW1LRFjwJ3VMIjoqHCtr7f0LLa1sefLgTqrlEeEh5HrfJ1GpVJKUmKDRhCyXtR3mOXMR+PqZBA/S8fLZY7atTRkkL0/+wuSytiUiXHOk1+TkJKKiItLsB5rLKjeP76eelzY8LCRL+44CvHr+iF3rUgZptMtXBEsr7XWKjopIc5yCXNa509n3VHke+Xjy1v8FC39RNesPDwvm6t8HiQwPoefQSRlVJUBVr53rUgb2ypOvMLmsbIkI13ZMpb2tLK1tefIg9baKDE/ZVg99bvLW/wULflGdt8LDgrny9yEiw0PpOXRiRlVJzcpa1XoiLCxUY4CwsLAQrQOG5bSwRF/fgPAwzW0aHhqKmZk5Ju/7a8fHx6d6YlC0WEmOH0m7z3d2+TAgoqGdjfp/ACNbG2Lfd1OIe/2WXNVTP4UysrVWp8ls1taqYHNYaKjGoHthYaFY5049CJ/F+20VFhqqsTwsLBQzc9W2MsGUeYuXs33LBn7+6XtyWVnRuWsvzv99hpIOaY84n1FsrSwBCAmP1BgcMSQ8ElstgyV+TKlUMm/DbvzfBfP7xO/Q11f9QMiVMwfrfxvDKtfDDJi6CBvLnPRv15Tjlz0oV6JIZlVFLb3tZKNlO32tVNeolNaRefMXJpd1bsK13Euke42y/nquUR+zer+dwj851336+oO0z30hmJnlwMTUjJiYaAID3rBh1eL361J9V9MnfE/P/iMo4VAm1XozQj4bXTrXTxmEOzA0mbAoJTlMNe9hdXXAzFiH0EjtP7RtLHQxM9ahfwvVedwqpy45zXQY1dmMLcdjCItUMqStGRsOx/D6nWod20/G8vpdMl0bGTN9Q8a17Hn1/BHbP9r/8uR/f90N034/kf49kpb7ibBgdVeGj1spAVjnzkv77sNZMuMH2nYdgqGRcUZUSWSi3r17ExUVRaNGjciRIweGhoacOXMGOzvVfuHj46P+PzAwkMqVK6Orq8vu3bvZvVs1xsnTp09ZvHhxttVBGwke/Efly5dn06ZNbNu2DVA9zYqKimLGjBkcOHCA5ORkZs2axdSpU9Pss+Li4sKWLVsoXrw4s2fPpnXr1loHx3j+/Dl9+vRJNfjG3bt38fPz49atW+pldnZ27Nmzh44dO5Jby43B3bt3cXd3p2zZsp9VX219fa49/ucoff7C9oz5bb1mvvNHcN0wn+SkRPVYBA+8bqCnp499mUraVkMpxyoc+WsNEeEh5LRQPYEKfPOc0KAAyjhVB+DCyT3cuHiUcTNTxm2IjYkiOioca9t8/76y/w8VLFKCibNWaSy7fO4Y29ctIikpSb3v+dz1QF9PH4ey2pvPlSlfmQO71xMRFkLO99PiBbx+TkhQIOWcq2rNk1kKFLZn7Ix1GsuunT/C7vULSEpKRP/9vnffyx09PX1KlqmobTU4OFbhsOtajTqp9z1n1ZRYrboMpVWXoeo8E4e2oHr9NpkypWGBwvaMm7E2Vb12rV/4WfUq5eiSql4Bb54TEhRAGWfVMdW6yxBadxmizjNhaEtq1G+daVM15ra1wy5vfnzu3tLoTuB12xOnCqkHZtPT06d02fLc87pFtZr11Mvv3vGg/Efpvx/UhZFjfqH8R/2J3771x9Y267uY/JO4l/5EP36OdZ0qRNy8p15u07A6QadUfZ+Dz13DfsoIDHNbqQdVNLMvgkmhfASdupQl5cxta0eevPnw9rpNCfuUPrp3bnviXKFyqvR6enqUKeeIt9dtatSqk5L+lidOzinn/fwFCjF+0q/q16dOHMXRyZkCBTN/Ss08NlYUsLPB0+cRpYulfN4NrwdUc0w7eJGQmMj0P1X3Amum/YixkSFbD52md2vVVF1F8tkxd3TKOCgH/r5CpTL2FMmCLia2trbkzZuPu153NbbT7du3qFBB+/X2a6S6Rq3WWHbl3FG2r1+scY3yveuBXjrXqNKOLmlfoypon+IwK9jY5lGf+z6eKcHrtgflK1RJlV5PT59SZZ3w8bpF1ZopY/V43fHA8f25z9TUjMWrdqjfO3f6CKuWzmba3BWp1peR3gQpWPZXtMYyl9IGdKpnjK5uSguEkoX0SVbA49faW1EFhCiYvSUlANCiuhFVyxiq121ipAowBIdr3os+eZ1E06pf1io2LQUK2/PzzDUay66eO8qOT667vv/iunvQdZ3W/a/s+/uJaT92o133YVSsmrJdExMTUCoVJCUl/k8HD/4Xpmr8YPjw4epWBJ+6ezclgGlnZ8fLlxk/eG5ycnKaLZNA1bLB2jp1F670/O9sna+Iubk5R48e5dKlS+TNmxcvLy8MDAyIi0t7GpoxY8ZQv359Tp8+zXfffac1TbFixdRdFD7+c3Z2pmvXrqmWnz59WiNwEB8fr54b9o8//mDGjBkEBwcTEhKChYVFut0VPjAyMiJnzpwaf1/aZaFyjSbktLTmzBHVRS0xMYFj+zbQpG1fzHJYAPDA250FU/oTFaF6SlWidAXsy1biyF+qk7dSqeTwX6upWqcl+QqqBj0rVtKRZ4/vcev6WUAVAd69YT5lnWtQ1N7xi8r6/1nVmo2wsLDm5KFdgGo7Hd6zmebte2H+fjv5enkya+JgIiPCAChZxplS5SpwwFUVMFIqlbjtXk+Nes3JX6hYqs+Ii40hMSE+1fLMotr3rDh7eCeQsu81bdvno33Pg/mTBxD5ft+zL12Bkp/ue65rqFo3Zd/7lEKhyNImwR/qdUajXhtT1WteqnpV5PBfqkDEh3pVq9uCfAVTbyv4UK/M7UvauXs/jh3ZR8T7Pu63Pa8T4P+K1u27AbBk3jSOHEiZeaFj175cOn8a/zeqKZCePX3Mbc/rdOrWT52mdDlndm5ZQ8L7fc3vyUP+PnWUDl2zdhokPTPVEzRd45Rzp46BAVWObSBvp5QuL49m/kGREb0weP+026ZxLUyLF1bP1hB62ZOQC+7YT06Z6s9+yne82n6AKN8nWVEVALr26MPRQ25EhKtGFr/l6U7Amze069AZgIVzZ3DQLWXmhc7denHx3Fn836hm9vF7+oRbnu507ZF6+rH4+HiOHznIgX2ujPxxfKr3M8vgji346+QFwt6PR3D1jg+vAt/Rs6WqReCk3zdozLwQHBbBqHl/UqF0CWb90B9jI0PCIqNI1NLtJC4hgb2nLrLt8BmmDeuVNRUCuvfoxZFDBwh/v508PT3wf/Oa9h1U03zOmzuLA26pW+EolUri4uJITKfpbGxcbLrvZ6YqNRtjYWHFqY/Oe4f3bqJ5O81r1OxPrlEOZTWvUQdc11G9bnPyaznvxcfFkpiYNfXr2H0AJ47sVZ/77nheJ9D/FS3bdwdg2bypHD2QMvNC+659uXz+FAHvz33Pnz7ijuc1Onbrr3X9H0Z6/zcjvme0mw8SiYhRUr+CqvuEvh40qWLEaY949fSL9gX0GN3FDLM0Zl/Q0dHs4hAbD77PEmlXx5j3DX0wNoRWNY25di/zB0x0qdmYnJZWnP5o/zu6dyPN2vVW73/3vT2YM2mg+rpbskwFHMpW5NBfqgcbSqWSg65rqV63hXr/K+NUFbedq4h9P5V1dFQEh/esp3rdFpiaZV1XJ/HtcnNzo3379mm+HxcX90WtGqTlwX/04sULNm3axOXLl9VjDBgZGREbG8uRI0f4+eefcXFxoW/fvsyYMYPbt29jZmamzp+UlMTGjRtZv349W7duJTQ0lFatWmFoaEi1atVwdHSkSJEiNGnSBFvbj5qwhYezceNGPDw8cHd3p0aNGqnK9qnatWvj5OTE2LFjyZkzJxMmTEChULB+/Xrs7e1JzuI5mvUNDPjhl5XsWDOLm1dPk6xIpnzlOrTqnPLkNjI8BP+XT4mLi8E8p+oGeujYhexaP5dZ43ugAxRzcKJj79HqPAWLlmLUL39ycNdKTh/aRlxsFA7lXOgxOGObjf9/oW9gwNhff2fzqrl4XDlLcnISzlVq065ryoj7EeEhvH7pR1xsDDlyWgLw/c9z2bpmIdN+6oOOjg4lHBzp0m+kxrqvnj/OiUO7ePbkPsHvArhx+TQTZv5JZtM3MGDU1JVsXz0bz6unUSiSKF+5Lq0+err+Yd+Lj4slx4d9b9wCdq2bx6xxPQAdijuUp2Of0Vo/44TbZkKDA7n69yHqNeuSaoDGzKrX6Kl/sE1dL9Ux9XGrgYjwEPxf+mnUa9i4BexcN4+Z43qq69Wpz6h063Xl70PUa9Y50+pVt0Ez4uJi+W3Kj5iYqKbCnTprqbrP+6uXz7CwTOn/XrZ8BYaNHM+SeVMxNjZFoUhm3ORZFCqS8kPgu1ETcd2xgak/f4+urh76+vqMnTiTUmXKZ0odtCk1Zxx2rRsC4OK2isBDZ/AdPw9dQwNylC6BcYGUZq6vtx9Az9yUqic2khwZjSIhketN+5HwNqWJtmfXHyi37BdqXtsLSiWh125xf0LWDHr7Qf2GTYiLi2Xq5LHqbTV99kL1tnr54rl6ekAAx/LOjPjhJxbMmY6xsQkKhYIJv/xG4SJF1Wl279jKLc8bKFHiXKEyC5asVHc/yQotalchJi6eEbOXY2ZsjL6+Hisnj1QPouj3KgArC9X/wWER9Jk8H11dHU5d9eTUVU8AXr8N5sfeHdTrXLfvGFfv+KJUKqnqWIpNM8dhZpJ1Tw8bNGxEXFwsUyb/rN5Os2bPVw+i+PLFC43tBLB/3x7OnDlNREQ4y39fQtlyjowbn9JVKTIyglkzpuP3zI/YmBjG/DSKXr36UKFi1rVm0DcwYMy039myeh7uV86iSE7G2aU2bT+6RkWGh/D61afXqHlsW7uAX8f0QUcHijuUp0vf1Neok4d38uyJL8Hv/HG/fJqfZ2TuNarO+3PfrCmjMDYxRV/fgCmzflcfT69TnfsqMmTkzyyd94v6eBozeQ4Fi6QOgoQEvePgHtWUqAf2bKV9l76ZWpdPJSvgj73RdGtkgnNJA/R0wOtpEseupTw8MDfVJa+1LkaGEP3JM7f8NrrUKGeIhbkulUsZ4HFfFRxYfziG5tWM+bGrGQlJYKAHtx4mcvZm5gd8VPvfCrasmoPH1TMkJyfj7FKHNl0Gq9NEhIfw5pPr7ojx89m+dj7Tx/ZCR0eH4g6OdPnoutul72hOH97J4t9GYmBgQGxsDJWrN6Rp26wLOIpv26FDh3j37h1Tp05lyJAhGrM+AMycORM3NzdmzZr1WevVUWb246P/BwIDA6lfvz6//PILycnJPHjwgHz58tGjRw8sLFRRx7dv39K5c2fWrFmjHn3zzp07vH37lho1atCqVSt1s5KEhARcXV3ZunUrr1+/ZuPGjTg7O2vt9tCvXz8eP37M+vXrcXDQ3pc/KiqKkydP4uvrS3BwMG3atFFPDfnB3bt36dOnDx4eHlrnJE3POe/Yz0r/LahXzuSfE31jrt3XPt/wtyw++euaviYj6PC/d0q2NIz+50TfmJdlamd3ETJFsftns7sIGS5/uE92FyHDBVpk7nSV2SEoIf3xJL5Fxvpf10BnGWH9of+96273Zmk36/6W1Sxjnt1F+CKvH3pldxHSlL/k192COTk5mejoaHLmVAW3ra2tMTMz482bN9jZ2dG0aVP69+9PSEgIXbt2ZePGjXTv3v2zPkOCBxkoKSkJPT29VAMafioxMZGQkBD1IBmZ7UPTNF0tI0d/7NPBWf4tCR58GyR48G2Q4MG3QYIH3w4JHnwbJHjwbZDgwbdDggcZ72sPHuzdu5c5c+bQo0cPmjZtysiRIzl79izx8fHcu3ePQ4cOMXv2bBQKBXv27KFt27af/RnSbSED/dsn9gYGBlkWOIB/Dhp88CWBAyGEEEIIIYQQ2St37tzUrFmTv//+m4ULFxITE8PEiRPJkSMHQUFBBAUFsXjxYu7du8fu3bsleCCEEEIIIYQQ4tukRB5mfqk6deoQExND06ZNuX37NufOnQPAy8uLH3/8EQcHBwwNVQOWDh8+nAMHDnx2AEFmWxBCCCGEEEIIIb5xCxcuZMqUKfz222/Exsbi5+dH0aJFefbsGdWrVycgIICYmBgANm3a9Nnrl+CBEEIIIYQQQgjxDYuLi+PYsWMULlyY2rVrk5CQwLt375g4cSIFCxbk2bNnODs706dPH548ecKECRPw8PD4rM+QbgtCCCGEEEIIIbKdUkeebX+p7du3M23aNAwMDEhMTCQyMhITExPq1q3L+PHjcXJyYt26dTRs2JBx48ZRtWpV9cD6/5YED4QQQgghhBBCiG9Yw4YNKVu2LLq6ujx79oxu3brRsGFD+vXrx5AhQ9DT0yMqKooqVaqwZcsWBgwYgLGx8Wd9hoR2hBBCCCGEEEKIb1iRIkXInTs3rVu3xsfHh1GjRhEVFYW/vz/Pnj3DwMCAzp07U7lyZebMmcPmzZs/+zMkeCCEEEIIIYQQItsp0flq/74Frq6ubNu2je7du5M7d26OHz/OjRs3CA0NpWjRoly/fp1u3bpRv3593r59+9nrl24LQgghhBBCCCHEN27ixIkAvHz5EicnJ3R1dVm5ciVnz56lc+fOWFpaYmlpCUCnTp1ITk5GT0/vX69fggdCCCGEEEIIIcT/iIIFC1KwYEEAjIyMaN68eao0pUuX/uz1SvBACCGEEEIIIUS2k9kWskZMTAympqafnU+2jhBCCCGEEEII8Y1btWoVXl5eqZZfvnyZatWq8fjxY5o3b46dnR2vXr367PVL8EAIIYQQQgghhPiGhYWF8d1336Gnp0dSUhJt27ZVv/fdd9/RuHFjHj9+zK1bt/j7778pUKDAZ3+GdFsQQgghhBBCCJHtvpVZDb5GlpaWFC5cmMjISLy9vTly5Ahubm7Y29tjYWFBu3bt+P333/n777+/aLwDkJYHQgghhBBCCCHEN69ixYpERkbi7OzML7/8wpQpU3j27BkLFy7E39+fNm3afHHgAKTlgRBCCCGEEEII8c0rW7Ysx48fx8DAgDp16rBy5UqioqKwt7dn3LhxFCtWjCNHjqCvr0/fvn2pWbPmZ61fWh4IIYQQQgghhMh2Sh3dr/bvW1CqVCk2bdrEtGnTMDc3Z/jw4Sxbtgw9PT1iY2MxMzPDzMyMS5cuMXDgwM9ev7Q8EEIIIYQQQgghvnElSpRg8uTJXLp0iaNHjxIdHU2nTp04efIkVapUoX///pQuXZpZs2ZRvXr1z16/BA+EEEIIIYQQQohvXPHixTl37hw7d+6kZcuWKBQKTpw4Qbt27TAwMGDy5MlUrVqVZs2aUatWrc9e/7fR/kIIIYQQQgghxP80JTpf7d+3wMrKCh0dHQwNDRk5ciQ3b95EX1+fhg0b8uLFC5YtW8aWLVsoXrz4F61fggdCCCGEEEIIIcT/gNy5cwNQv359jhw5AkClSpUwNzenZMmS7Ny5k4ULF37RuiV4IIQQQgghhBBC/A9wcnICIEeOHNSoUQOAOnXqcP78eQCqVq1K8eLFeffu3WevW0epVCozrqji/6NLPtHZXYQMV6uMWXYXIcM9fuKX3UXIcK/j7LK7CBkuh0Fsdhchw5noxWV3EcS/9LRUg+wuQoazuuue3UXIcNaGYdldhAz3NDJPdhchw+UwTMjuImQ4Pd3k7C5ChjPW+9/bTgDO9rmzuwhf5MnTp9ldhDQVL1Ysu4uQYZRKJX5+fhT7zDpJywMhhBBCCCGEEOL/CR0dHYoUKfLZ+SR4IIQQQgghhBBC/A/y9fVl0qRJGsvc3d3V3Rg+hwQPhBBCCCGEEEJkO6VS56v9+5bcvXuXvn37olAoaN68OdeuXdN4/+TJk/z555+fvV4JHgghhBBCCCGEEN+4xMREkpKSaN26NS9fvkRXV5dTp06lSrN+/XoSEj5/vA8JHgghhBBCCCGEEN+wixcv0qNHD3R0dDQCBvb29hrp5s2bB8C6des++zMkeCCEEEIIIYQQItsp0f1q/752L168wMPDg1q1amFhYcGnkyoqFApmzpzJhQsXuHLlCjY2Np/9GV//tyCEEEIIIYQQQog09ezZEz8/P6ZMmcL3339PfHw8b9++JTk5mVevXjFjxgxq167NyZMnyZPny6bH1c/gMgshhBBCCCGEECIbtGzZkpYtW6Krq0vevHnR0dHB0NCQmzdvUqxYsf+0bml5IIQQQgghhBAi2ynR+Wr/vgUxMTHMmDGDo0eP4uzszPnz5zl8+DCFChWiUKFCTJw4kebNmxMVFfVF65fggRBCCCGEEEII8Y0bPXo0O3fuJCwsDEtLS2rVqkWzZs3Imzcvy5cv58GDBxQqVIgRI0Z80foleCCEEEIIIYQQQnzDPgQG7t27R48ePTTe09FRtZwwMzNj9erVGBoa4uHh8dmfIcEDIYQQQgghhBDZLru7JnzL3RYcHByYMmWKOlCgUCjSTPv777+ze/fuz/4MCR4IIYQQQgghhBD/IxITExkwYACgPYhgampKpUqVCA0N/az1ymwLQgghhBBCCCHE/wgDAwP69OkDgK6uLmfOnEmVpkuXLiQkJHzWeiV4IIQQQgghhBAi230L3QO+Zlu2bCExMZFcuXL9Y1pbW1tq1ar1WeuX4IEQQgghhBBCCPGNmzx5Mq9fv1a/1tHRQalUav3fysqKd+/efdb6ZcwDIYQQQgghhBDiG1eiRAkUCoX6r06dOmn+/7mBA5CWB0IIIYQQQgghvgLSbeG/+TDTgrbXaf3/Ob7qlgdxcXH06tWLW7duZcj6Ll++zJUrV/5V2sePH2uMTOnq6srjx4/TTL9nzx5u374NwMCBA1m9ejX3798nODg43c+pXr06+/bt01g2aNAgli1b9q/K+YGfnx9eXl5pvp+UlMQPP/zAw4cPNZYvWrSITZs2fdZnCSGEEEIIIYT4uigUCnx9ffHx8cHHx4fo6Gj160//f/PmzWevP0uCB4mJif+Y5vHjx7i7u2ssO3XqFCdPnsTc3JwbN24QGRnJnj17cHNzU/8tW7aMnj17EhMTA0BISAj79+9Xr2P58uUEBgYCcPHiRdq3b69+/akVK1awd+9eACIjI+nQoQPx8fEATJ8+nX79+pGcnJwqX0hICIMHD8bNzQ2At2/fEhwcTExMDMWLF+fgwYNp1vvWrVvY2try6NEjbt68SVJSEjt27MDIyChV2jZt2lCvXj2NvwIFCjBy5Eg2b95M/fr18fHx0fo5586d46+//sLQ0JD4+Hg2bNhAdHQ0M2bMIDY2FoAbN24wfvz4NMsqhBBCCCGEEOLr9PDhQ8qXL4+zszPOzs7cvHmT8uXL4+TkpPG/p6cnlStX/uz1Z0m3hcOHD7NkyRJ0dbXHKpRKJZcvX0ZfX59du3bRrl07ANatW0euXLkYNGgQ165dY8GCBdSsWZPr16+zYcMGdu3axYULFwgMDERfX1WV+Ph4OnToQO3atdHV1eXatWv4+vqycuVKkpOTKVWqFHZ2dlrLMWjQIEqXLs3Lly8ZPXo0r1+/ZunSpbRq1YrIyEguXLiAnp5eqnyjRo2iTp06/PrrrwDUqVOHy5cvM2nSJDZt2kRcXByrVq1i2LBhAPTp04cXL14AkJCQwMiRIwkKCiIpKYlVq1ZhbW3NwIEDU33Ovn371PWsVasWgwYNol+/fgC0b9+efv36UaZMGQBiY2MxMTFR5125ciUKhYKePXsSHx/PkydP2LVrFzo6OqxYsYLdu3cTEhJCREQEDRs2pGnTpult0gwT/M6f7WvnERkeQmJiImWdq9Gh53fo6aW9a0ZFhrNrw0L8X/mhVCgoVKw03QaMwdjEVJ3mke9tju7dQHx8HJHhIVSq1pA23YamuQ+KtB05cpgTx49hbGyMQqFkyNChlCzpkGZ6f39/3N1vcOjgAUb+MIry5Z003n/m58euXTuJiooiKCgIR0dH+g8YgKmpWWZXRUPwO392rp1LZHgoSUkJlHGqTrt/2PeiI8PZvWGBat9TKilUrBRd+o/V2Pc+UCqVLJk+jBKlKtCm27DMrAoAp47u4+yJgxgZm6BUKugzaBTFS5ZJM/31y39zcM9WDI2MSYiPo3OvIThXqqZ+PykpiZ2bV/Lq+VOiIiMwNjGl14CRFC2R9rbPaMeOHODU8SOqOikUDBz6HfYlS6WZ/sqlC+z7aydGRkbEx8fTo3d/Klauon4/IjyczRtWExgYQEJ8PGbm5gwc8h0FChbKiuqoZXS9nvk9ZfOG1cTERBMfF0fRYiUYMGQEOXLkzIrqYF7WHrsW9SjyfR+u1OlG7PPX6aYvNLQ7hQZ2Jjk6FnR18Rkzm3CPlJZzBrksKLN4EualiqOjq0P4LR98xswhOToms6uSSvC7ALaumU9EeChJiQmUc65Gx17D//EatWP9Yvxf+aFQKClc3IEeA37SOE+EhQRxx/MyZ4/9RaOWXandsHVWVIejRw5x4vhRjI2NUSoUDBo6It3zeYC/P+7u1zl0cD8jf/gJx0/O55GREaxd/ScvX75AqVRSvHgJBg0ZrnH/kRVCgvzZu2E2keEhJCUlUKp8dVp2+yH983lUOPs3zSPg9VOUSgUFi5ahfd/xGBmrtlNychJnD27izo1T6Onpk5SUSOP2g3Gu2jirqvX+Hmk+EeEhJKnvkUb84/63c8Mi9T1S4WKltN4jHdm7kYT4WCLCQ6lUrQFts+geKfhdAFtWLyAyPJTExATKVahKp39xTG1ftxj/V89QKJUUKeZAj4E/atTpvvdNXLesQE9Pn/j4OJq06kqtBi0zvT4nj+7nzIlDGBsZo1Aq6Tv4B0qULJ1m+uuXz+G2ZxtGRsbEx8fRtdcgjWvvx+7dvcmMKaPZdfBCZhX/q6RUSreF/+LVq1fo6upy/PhxIiMj6dy5MwA3b97EysqKIkWKqNP+mwf8n8qSX1Lt27fnwoULnDt3LtXfmTNnKFGiBJUqVWLVqlU4OakuTD4+Pty/fx9PT086derEX3/9RaNGjahUqRKvX7+mdevWmJqa4uvrS4MGDTA0NARS+m+cPHmSc+fOkSdPHsqVK4e3tzcvXqgubrdv3+ann37S6A5x9+5drl69yrBhw9RdDapVq0a+fPlYu3YtO3fuxNraGg8PD/UolQAbN27k8OHD5M6dm/79+1O3bl22bNnCkSNH6NKli7ocT58+xdfXF1AFRT7U39DQkOXLl3PmzBn8/f25fPky5cuXZ/v27axfv54mTZqo830IHHxKoVBw+fJlChYsyPHjxxkzZgxly5ZVd1G4ceMGr1694tKlS0RFRXHo0CFOnjyJra0tz549o0SJEtSuXZu7d+/y7NmzLAscJCYmsHj6dxQv6cjkeVuYMm8Lzx7dY8+W39PNt3L+OAwNjfhlwTZ+WbidxMR41v8+Vf1+RFgIR/ZuYNjYeYyfsYZxv63h0tkDnDywNbOr9D/n1KmTuO7exW8zZjF/wSJ69OzJlCmTCQpKe4CVgAB/EhMTiYiISPVeSEgwO3ZsZ+QPo5g5azaLlyzh+fNnLP89/W2e0RITE1j62wiKlSzPxHlbmDh3K88e32PflvS7C/25YCwGhsZMXrCdyQu2k5iYwMblv2hNe/rwdu7fvZEZxU/l/OkjuP21hQnTF/PrvD/p2G0Ac6b+SHDQW63pve94sGb5HL4f+yvT5q5k6KjJ/D7/F54+vq9O89f2tZQu68zE35Yya8kGHJ1dmD11NAnvW2NltjOnjrNn9w6mzpjHnAXL6NqzD79OGZ/mvnf39k1WLFvAj+MmMWv+Ur4fPY6Fc2fw+FFKV62li+ZQoqQDM+cuZv6SP6hWvRa/Thmv0UUts2V0vcJCQ5jy84+4VK3BvEUrWLx8Dbp6eiyZPzvL6mResijKpGSM89n+Y9oCfdpT4ueh3Gg5iKv1e/JoxgqqHl2Pcf6UoH4l1+Ukx8ZxuXonLlXtiK6xEU4b5mZmFbRKTExgwa/fU7ykI1Pnb2Tq/E34PfbBdfPydPOtmPczhoZGTFu4hV8XbSExIYG1y37VSBMSFEhMdAQx0VGZWANNp0+d4K/dO5k+YzbzFiyhW8/eTJ0y4V+dzyMjIrW+P2fWbxgaGbFk2R8sWfYHCQkJLFk0P7OqoFVSYgJ/zhpCYfvy/DRrOz/N2sGLJ/c4uH1Juvk2LPoRA0Mjxs7Zxdg5u0lMjGfbH5PV7x91/QOPS4cZNvFPfpy5nR7DZ7Br1TT8Ht7O5BqpJCYmsGj6dxQr6ciUeZuZMm8zfo/u8de/vEeaumArUxduIzExgfW/T1O//+EeafjYuYyfsYbxv63m0tmDnDiwLbOrpDqmpo2khEM5pi7YwLQFG/F75IPr5hXp5ls+dwKGRsb8umgz0xdtJjExgbXLpqvff/PSjyUzfqJr35FMnrOG0ZMX4rp5OTevZ+6P7nOnj+LmupVJ0xcxff5KOnXvz+xf0rv2erLq97mMHDuVX+euYPioiSydN03j2vtBTHQUK5fMQpmF1yfxv0FXVxelUsnkyZN5+fIlAE+fPqV69eqMGTNGI62BgcHnrz9DSvkFTp06xd27dxk5ciRNmzbl+vXr9OvXj6JFiwIwY8YMXr58yZIlS/jll1/w8vKibNmy+Pr6cvPmTYYOHcqoUaPw9fWld+/eqdbfpEkT6tWrR0BAgPpHd1hYGHZ2dujr67N06VKNbhJ//PEHe/bswcLCgvz587Nq1SpKly5NdHQ0Ojo6eHl5sXz5cqpXr65+2n/69GmePn2q3hALFizgzJkzeHl50b9/f3x9fRkyZAgrV65k5MiR6jERbty4oe528KHlQbly5di+fTve3t64ubnRr18/ChYsyIsXL9TBg9DQUH777TfCwsLU5R47dizHjh2jdOnSdO3aFW9vb65evYqbmxv58uUjNjaW33//nQMHDmBvb4+5uTlPnz6lS5cuFClSBAsLC6ZOncq+fftYsWLFF/V9+VI3Lp4gNPgtTdr0AkDfwIDmHftz5uguoiLDteZ54O3Jw3uetOo8CFAFi1p3HszNa2d59fwRAOGhQbTqNBAjY9WTj5yWVhQr6ciLZw+1rlOkbefOHTRv3gJLS0sAKlasRMGCBXH7qGvQpypUqEjHjp0wNU39NP76tWu0adMWMzNVKwNTUzO6dOnG5cuXSExMyJQ6aON+6ThhwW9p/NG+16xDf84e20V0WvvePQ8e3fOk5Uf7XqvOg7n10b73wevnj/G5dZVcNnkytyLv7du1kYbN2mJhaQVA+YpVyVewMEcP7NKafv/uTVStUZ+8+VVP3AsVKU6FyjU44LpFncbGNg+Vq9VRv65UtRZRkeEEB2u/Kcporju30rR5KywtVfMUV6joQoGChTi4f4/29Lu2UaNmXfIXKAhAkaLFqORSlT27t6vT+HjfpU69hurXdeo1JOjdW3W3t6yQ0fX6+8xJzMzNadGqLaC6aeg/aDi3b3nw5HHWnPMC9p/k6ZIN/yqt/eTveLF2NwnvQgAIOn2ZqPtPKDqqHwBWtV2wquPC49l/qvM8nrWSvB2akqNcyQwve3quXzxJWPA7mrbtAajOEy079OX0Udc0r1H3vT15cO8mrTsPAFTnibZdBuJ57W9ePksZN6lYybI0b9cbKxvtLSEzw66d22jWvKV636tYsTIFCxbiwP69aeZxrlCRDh07az2fe3ndwdvrLl27qb4fHR0dunXvxdUrl3jm55c5ldDi5pVjhIe8pX7LPgDo6xvQqO1ALh7fQXSU9u302MedJ74eNOkwVF32ph2GcvfGad68eIhSqeTCse00bDMA85yq82r+wg5Urd+O027rs6ReqnukdzRt01NVLwMDWnTsx5mju9O9R1LtfwPV9WrdeRCeH12nwkKDaNVpUKp7pJfPHmR6na5fPKmq08fHVMe+nDqS3jF1kwf3btJG45gagMfVlGPqyL6tFCtZFoeyFQCwsraldqM2uO1el6n12btzIw2btcHi/THlVLEK+QsW4Yjbbu3pd22ias165Pvo2lvRpTr7XVM/3NqwagmlyjqlWi5Eetzd3Tl27BgXL15kxowZPHnyhAsXLvDnn3+yYMECRo0axYULF9R/6Y3nl5Zsm21h27ZtPHz4kLNnz6Zq3nbw4EH69evHyZMnGTx4MKtXr2bo0KFMmTIFDw8PChYsyJEjRzA1NeXRo0daoyYnT57E2NiYIkWKYGtrS7ly5TA1NSVfvnyULl0apVJJ3bp1Adi7dy/r1q3j9u3b2Nvbp1pXZGQkISEhHDhwgBUrVtC2bVuUSiXm5ubMmDGDqVOnYmZmho2NjTrPH3/8wZQpU6hcuTJVq1YlLi6ODh06AFC5cmW2bt2qLndsbCxnzpzB2NiYZcuWUbVqVQYMGEBAQADnz59Xd7NITk5m2rRpjBw5EoC5c+eSJ08eXF1d6dOnD3ny5CEgIACA8uXLA+Dl5UWxYsXo3r07oGqKPHnyZAIDA3Fzc+PSpUsAmJmZ8cMPP7Bv3z7Onj37hVv18zy454F9aScMDFPGdyjt6IJCoeCRzy0qVK2XKs/9ex7Y5SuM1Uc/yvLkV732vetOgcL2FCyqeYP5/Ol9/B7fY8joWZlWl/9FbwMDCQwIwLlCBY3lzs4VuHH9+hetM5eVFQULFdRYZmxiQnJyMjExMVhYGH5xeT/HQ29PSpRy1tj3Sn3Y93xv4lylvtY8tp/se3b5CpPLJg8PvFT7HkBSYiI71s5hwKiZLJySuvtRRnv31p+3gW9wdHLRWO7o5IKn+6VU6ZOSknjo60XDZm01lpdzdmH7hpQnqo2bt1f/n5AQz6mj+6lctTZ58hbI4Bqk9jYwgMAAf5wqVNJY7uRcCffrV1OlT0pK4r7PPZo2b6WZvkIlNq1bpX5dslQZ1qz8nSEjfsDMzBy3fa60btcRc3PzzKnIJzKjXm8DA7HLk1fjfXNzc3LkyMmzp08oXiJrf3Cnx6RQPkyLFSTorObAxUFnrmLbSnXMWdetQvTDZ8S9ClC/H/3oGbEv3mBdvxqR3lkXBL7v7UmJ0uUx/PgaVb4yCoWChz63qVi1rpY8N7HLVwjr3J9eo+zw9XKnYJESWVL2T304nzt9cj53cq6A+/VrX7RO77t3yZe/ALlzp7Q4yV+gADa5c3P3zi2KvH8YlNke3XOnqEMFjfO5fbkqKBQKnvp64ujSQEseD3LnLawR4LXNVwRL6zw89L5BTksbEuJjsbbTPN/Z2BXizvXTmVeZj9y/5/kF90ie2OUrpOUeyU59j1RIyz3Ss8f3GDx6ZqbV5QNfr5vYf3JMlfmHY8rX25M8+QphnTsl0JZyTHlQsEgJ7nt7Ur9pB418ZZ1cOLxnEzHRUZiaZfw5/t3bAN4G+uPorNln3NG5Mp43LqdKr7r2etPok2uvo1Nltm74Q2PZ5fOnyWlhSaEixbl07mSGl/1rJ7MtfLlr164xa9YsdUv8wMBAVq1S3S+Ym5tjZmambkGvVCrJnz8/np6en/UZ2RY80NHRwc7OTmu/uBYtWvDixQsSEhJYuHAhERERzJ+vagbXuHFj5s6dS4MGDXj+/Dlnz57l2bNnDB069B8/MygoiCpVqqifMn24YWzYsCFeXl4UKlSIu3fvavT5SkhIoF27dpibm7NixQpatGihfq9aNVUfJQsLC1xdXalXr57G5ykUCpRKJdWqVUOhUJCUlASomoj4+fmpu1oAFCxYECMjI+zt7Xnx4gVhYWH8+OOPWFtbp6pHrlyqCOeECRPo0aMHnTp1IjQ0FFD1Z2nWrJk6raOjI6VLl+bevXvkzZsXW1vVRb5UqVLMnDlTPb7E7Nmz2b17t7rlR1YIC3mHRa7cGsv09PQxM89JaLD2QS3DQ95hYZn6O8lpaZUqj9fNy7huWkrwuzd06fcj9mUqpMon0hYcouq+82F/+yCXpSVBQUFftM5q1aqnWnbj+jXs7OywsLD8onV+ibDQd1jkstFYlrLvaX+yHpbWvmehue+57VhB3aadsM6dN1XazBAaotoWlrk0y2aRy4oQLc2RIyPCSEpKTJ3eMhfRUZHExcVibJxyXl46dzLetz0oWKQY34+d/sVT+3yOkPf7nmUuK43llpa5CNZSp4iI8Pd1Sp0+6qM6jZs4ld8Xz2NI/x4UKlwUG5vcjB47MfMq8onMqJetnR2eHtdRKpXqbRMaEkJERDjh4WGZU5EvZPS+W0N8gOb5I/5tEMb586jTxAem/i7i3war02SVsJAgLD45TvT09DE3z0lIGteotM4TFpZWhGRRqx1tQtTnc819KZdlri8+nweHBKe6PoBq/wwK/rJ1fomI0Hfk1HI+NzW3ICxE+3aKCH1LTkubVMtzWFgTHhKIWY5cGBqZ8M7/OcVLVVS/7//yEVHhIRlbgTSEhbzDMo3rVFr7kmr/S12vnJbWqa5tXjev4LppKUHv3tC134+UzIJ7pLCQd1hapa6TuXlOQtJo6q/tOIT3x9T7PNrS5HzfEi8kODBTggehwWlce9M4n6dcezWPQYtcVhrX3uCgt5w+5sakGYu5fD5rAlXif8fIkSPVD5nj4uKYMmUKjo6OHD58mIsXLzJ69GhGjx6t8Rv0c2Vb8CA9+vr6JCYmYmVlxdixY9m1axfjx49nwYIFnD9/Hl1dXWbMmMHr16+ZM2cOBgYGdO7cGSurlAOySZMm6Orqqp/Eg6q/h4ODA+HhqqZRH4IHlpaW6mbZVaqkDEL1999/4+bmxpQpU/juu+/Q09MjLi4OY2NjjfLq6emRJ08ezp07x5UrV4iMjKRRo0a8fPmSokWL8v3332v8KJ81a1aqp/v+/v6EhIRw584dgoODef36tdbAwae2b9/Or7/+yoIFC/D39+fatWvqQMvH3+f+/fv5448/KFu2LAAvXrxgypQpLF26FIDr169z584ddu/W3tTqg/j4ePUMFB8kJCRpRJE/h7YBKAGNcSU+pfsv8zhWrIljxZoEv/Nn1cKfeRf4ms59Rn1ROf8/07aNlMqM6YP38OEDDh8+xLhxP2fI+j6Hnm4a+1E6/QvT3Pfe53ng7UFEWDBVajf/7wX8TNrKlt520v2X9R89YRYKhYK/Tx5k0o/9mbVoPTa2WfMjTvu+l/a5Ic3ziUKV5/zZ09jY2LJ6/Xa8vW6za/tmJo0bxbSZ87J0wM6MrFeDxs3Y67oT153b6NK9F3GxsWzbvA5jY5NUN6lfC+X7QPrHdHR1Pno/9axGn6bJKmkN4vZhn9Ke5/PPLVklo8/nX0tddXXT2k6ffw5UKBTo6OhQr2VvTu5fQ4kylbGxK4jPrYs88fUkh5Yf55kl7fudz79OKT7J41ixBo4VaxD8zp8/F054f4/0w5cX9l9K89rzJderj/KkfX1O+1jNCJ97TKV3PlcqlaxdsYD+w37CwCBrWmKK/10fHtT37duXvn37EhERwdq1a+nSpQvr1q3TaDH/Ob7K4AGoxidQKpWcPn2auLg4Tp5UNdvR0dHh5s2b6i4Ef//9N7t3704V/f642wKoxgvw8/PDxcWFR49U/b4+BA+SkpK0DkbYt29fxowZww8/qE6mAQEBVKpUidWrV9OqVatU6QHc3Nw4f/48DRum9Kv9tFvFzz//jIODA2XKlKF8+fKcPn0aZ2dnrK2tuXnzJnny5CEsLIzExMR/HMiiSpUqlC1blkqVKtG7d28KFCiQ5rQbdevWZc+ePfj6+lKpUiXKlSvH1q1bCQ0NxcnJiR49eqT7WQBz5sxh+vTpGsv6j5jIgO8mp5FD5dXzR+xYmxLUyJO/MJZWtkSEBWukS05OIjoqglxp9AO1tLLl8f27qZZHhIWo+45+/AQOwDp3Xtp1H8HSGSNp23UohkbGqfKL1KytVSeV0NAwbGxSWoiEhoVhkzt3Wtn+NT+/p/w2/VeGDhtO9Ro1/vP60vLq+SN2rZunfm2Xr4hq3/vk6VHKvqf9h3Eu69w8eXAn1fKI8BB1nkc+nrz1f8HCX1TjIoSHBXP174NEhofQc+ikjKqSBiur3O8/KwRrm5Tmw+GhIVhrOY5yWliir29AeJhm/cPDQjEzy4HJ+x/RHx9Hurq6NGzWjgtnj3H6uBvd+mTu7BEf9r2w0FCNfS8sLBRrLfuexfs6hb1vgfVxejNzc0xMTbl7+yYnjx9h6R9r0dXVpVqN2lRyqcqkcaM5fGAfXbqnHjsno2VGvUwwZd7i5WzfsoGff/qeXFZWdO7ai/N/n6GkQ9ojfmeHuNeqp8CGdjbq/wGMbG2Ifd9NIe71W3JVT/0E1MjWWp0mM7x89phtaxeoX+fNX5hc1rkJ13KNioqKSHOsglzWubVeo8I/ukZlB6s09r3QsNAvPp9bW1tz3+dequVhYaHY5P7nwTO/xJsXD9m7cY76tW3eIlhY2RIZnno7xUSFY5nG+dzCylbrwIeR4cHkslblad75O0zNcrJtxST09PUpVb4m5V0aEBT4KuMq9N6r54/Y/tH+lyd/YXJZ2RIRpv06leb+Z5Wbx/e1XKfCgtVdGbTdI7XvPpwlM36gbdchGXaPpDqmFqpf58lfmFzW2q+96R5TVv98TOWyzp3qu/rw2somc/bFD8dUqmtvWKjG6w9Srr2a5/Pw0BDMzFTn85iYaAID3rBx1WIAwt7XYfqE7+nZfwQlHNKeQel/iXRbyDgfWpgD5MyZkzFjxjBixAgOHTpEly5dvmidX23wICAggHLlytGoUSOMjY1p0qQJoBoPYeXKlbx7947Xr19Tv76qn6SJiQlt27bVuq779+/j7e1N165dyZEjBy9fviRnzpzq6N/169eZOHFiqilq3r59y4oVK9j/0eBw9vb2rF69miZNmqibfHz8xMjX15fGjRtrBCM+HclboVAwfPhw3NzcALCzs6Nly5asX7+es2fP0rRpU0xNTdm/f7/WDXvhwgXevXvHjh07ePPmDd7e3jRr1oxx48YxZ86cVOlB1f1CR0eH8PBwunbtilKppFSpUkyYMAEjIyOUSqV6msf0TJw4kZ9++kljmcfT1E+RPlWgsD3jZ67VWHb13BF2rl9IUlIi+vqqIImvlzt6evqULFNR22oo7ejCIde1RISFqJukBbx+TkhQAGWdVU3if/2xK227D6di1ZR+60mJCSiVCpKSEiV48C/Z2tqSN29evLzuaowFcvv2LSpW0L59/i0vr7v8vmwpY8aMo0LFipw/f44yZcqSOwOCEp8qUNiesTM0B026dv4Iu9cv0Nj37v/DvufgWIXDn+x7gW+eExoUQBlnVRemVl2G0qpLSheqiUNbUL1+m0ydqtHGNg92efPj43WTYiVSpvvzuuOOY4UqqdLr6elTqqwTPt63qFoz5Rjxvu1OOWfVuAnXL5/lwJ5tzFq8XuMmMzExkcSEzJ9tIbetHXny5sPb6zYl7FP659657YlzhdTBUT09PcqUc8Tb6zY1aqUM8njnlidOzqrxBZ49e4qtnZ3Ged7AwBB7h1LExERnYm1SZEa9APIXKMT4Sb+qX586cRRHJ+csn4Lyn8S99Cf68XOs61Qh4mbKj06bhtUJOqXqIxx87hr2U0ZgmNtKPaiimX0RTArlI+hU6jE8MkrBIiWYOGu1xrIr546yff1ijQcMvnc90NPTVw/M9qnSji4c2L1eyzUqkHIVtE/HlhVU5/N8eHnd+WTfu0UFLfvev1HeqQK7dmwjLCxUPQjj61evCHr3jgoVK/1D7i+Tr1BJRk7bqLHM/eIh9m2aR3JSInrvz+ePvG+gp69P8dLa62Zfrion9q4mMjyYHBaqVp5v3zwjLDiAUk6qYLauri71W/Wlfqu+gOo+Yu64DvQcnvFjAxQobM/PM9doLLt67ig7PvMeqZSjCwdd12nd/8q+v05N+7Eb7boP07hHSsyEeyTVMbVKY9nlc8fYvm6RxjHlc9cD/XSOqTLlK6d9TDlXBaC0Y2Xue3vSvF1Pdb57d9wpal8GM/PMmbL2w7X33t1bmtfe2x6UT/PaW557XreoWrNeSvo7HjhWUF17TU3NWLIqZZDfc6eP8ufS2Uybm/5sFEJo86E7/KdMTEy+OHAA2TDbwocf2snJ2pslfnD16lUaN049l+62bds4d+4c06dPx9nZWT3lYdu2bXn8+LH6x3OtWrVo3rw5Q4cOxcnJia1btzJ3rmqqJx8fH/LkSYlG16xZU+tUknny5GHUqFGplh86dEijr0hcXBxFihTh8ePH3Lhxg8qVK3P58mUSExMZNGhQqmYhrq6u/PDDD9Spo7oZNDY2pnr16mzbto3Vq1fzww8/0KBBA8aPH09IiOrm6dy5c5QuXRorKyvWrVvHzJkz2bNnD5MmTaJ169b88MMPVK1aldmzZ7N58+ZU31uHDh0YP348LVq0YPz48RQuXBhnZ2cUCgVPnjxJc7DITxkZGZEzZ06Nvy/tsuBSswk5La04fXgnoLp4Hd27kWbt+mCewwKA+94ezJ00gMgIVaTWvkwFSpatyKG/VIEIpVLJIdc1VKvbgnwFiwFQxqkaB3b+SWyMagqs6KgIDu9ZR/W6LTE1y/FFZf3/qkePnhw+dFDd1cfT0wP/N29o36EjAPPmzsHNLfXMC0qlkri4eBISUs8fe+LEcXbu3MGcufOoUFF1A/T48SONbkeZrXIN1b539qN979i+DTRt2wez9/veA28P5k/+aN8rXYGSZStx5C/VDZ5SqeSw6xqq1m1JvoLFtX6OatyTzG++27HbAE4e3kvE+z7ud25eI9D/FS3bqQZK/X3+Lxw9kNIlqX3Xflw5f5KAN6onaM/9HnHn5jU6du8PQDH70rwNeM35M0fUeS6dO8Gbl8+o1zhr5qPv2qMPRw+5EfF+37vl6U7Amze066Car3jh3BkcdEuZoaBzt15cPHcW/zevAfB7+oRbnu507aEagb2ySzUe+PrgcSNlcLiH9325cuk8teumHlAts2R0vT4WHx/P8SMHObDPlZE/js+C2qTQM1ONxq9rnHI90DEwoMqxDeTtlNKN59HMPygyohcG1qofmzaNa2FavLB6tobQy56EXHDHfvIIdR77Kd/xavsBonyfZEVV1KrUbIyFhRWnPjpPHN67iebteqmvUb5ensyeOJjIiDAASpZxxqFsBQ64qkbkVyqVHHBdR/W6zcn//hr1sfi42CybaaZbj14a5/Obnu74v3lDuw6dAJg/dxYH3Palyqc6n8eRkKBZzrJly1HOsTy7d25Xp9u1cxv16jekUKHCmVybFBWqNyOHhTXnj6nKkZSYwCm3dTRo3Q8zc9V2enTPnWXT+hL1/nxevFRFipepzIm9q9VlP753FZVrtyJPgdTnc/+Xj1k9dwRV6ralqINzltTLpWbjNO6RemvcI82ZNFB9nSpZpgIOZSty6K916noddF1L9bot1PtfGaequO1c9ck90nqq122R6fdIVWs2wsLCmpOHdqnrdHjPZpq31zymZn1yTJUqp3lMue1eT416zclfSFWnFu178+DeLR4/8AJUU6FePHOITr2GZ2p9OnXvz4kj+9TX3tue1wnwf0Wr9t0AWDpvGkcOuKrTd+jal8vnT6mvvc+ePuK253U6duuvdf0fHj5m5XTCQvwTHWV6HS0zWFJSEjt27GDNmjV4enrSunVrXF1dU6VLTEykbdu2uLq6Eh4ejpOTE25ubtSrV0896OBff/3FihUrOH/+vDpfeHg4LVu2pFu3bnTp0gVbW1siIiLo2bMnP//8M9u3b+fUqVO8ePGC/v37s3r16lSf7e/vz4YNG/D29mb37t2sWrWKIUOGpFuvuLg4jh07xm+//cb8+fNp3Lgx3t7eTJ06VT2Y44cBHePj4xk3bhytWrXCz8+PYcOG8eTJE/VsBxUqVGDChAkkJCRQvHhxChYsyLZt2yhcuDCHDh2iVatWGq0aHj58yNChQ+nTpw99+vShbdu2HDlyhEqVKjFp0iT1DA+XL19m8eLFTJkyhQoVKuDg4MC8efNo06YNvXr14sCBA/Tt25cmTZpQt25drYMgpeWSz5c/tQsJCmDrqtlERYaRnJyMk0sd2nQZon7a6X75JFtXzWHqou3Y2OYDVBe6HWvn4f/6GTo6OhR3KE/nPqPUIxIrFApOH96Bx5XT6BsYEhcbTeXqjWjStpc6ev9PapXJuv7PWeXxky+bOuvIkcMcO3YUUxMT9PUNGDJkqHoU7e9GDKN8eSeGDku5QO/ft5czZ07j5+eHjY0N5co5Mm68akyDXbt2sn3bVkqXLq1+ApyYlER8fDwrVqz87LK9jvvyZsAhQQFsXz2bqIgwFIokyleuS6uP9j2PyyfZvno2kxfu0Nj3dq2bR8BrP0C173XsM1pjNOwPTrhtZu+WpVjZ5GHivK2pBmhMSw6D2C+qz6mj+zhz/ADGJqbo6+vTZ/BoChVR3QSPH9mbso4V6TvkR3X6G1fOsX/3JoxNTFAoFHTtPYwyjilPfl698GP31tXExESRGB+PmXlOuvUdRuGi/xxk/JSJXtwX1enYkQOcOHYYk/d1GjjkO4oUVd0sjhoxCMfyzgwa9r06/dXLF/hr1zaMjVV16tVvEOUcU6a6evzwATu2biQmJho9PT309Q3o2rMPZco6flH5vlRG12v3jq3c8ryBEiXOFSrTrkMXTLRMrfdvPC31+YGUUnPGYde6IeYORYl+/JzAQ2fwHT8PPTNT6t07ztOlG/BbukmdvtDQ7hQa3JXkyGgUCYn4jJmtMYuCvmVOyi37BTOHYqBUEnrtFvcnLEAR/2U/sq3uuv9zojQEvwtgy+p5REaEoUhOxtmlNm27DlKfJ25cOsXm1fP4deEWctulnCe2rV2A/6vn6OhAcYfydOk7UiPQfvX8cU4e3onfIx9y5LSkQOES/DzjT61l0MbaMOyL6nP0yCGOf7TvDR4yQn0+HzliCI7lnRgy7Dt1erd9ezhz5hTP/J5iY5ObsuUcGTs+ZZDRqMhIVq/6g1cvX4CODqVKl6H/gMFfNBjX08gvH0slNCgA1/UziH5/Pi9bsR7NOg1Tb6dbV4/jum4mY+fsxto2PwAxUeHs2TiHt29U5/OiJZ1o0/Mn9fk8LCSQzcvGk5gQTy6bvNRp2h37cqmfKKcnh+F/CwyFBAWwZdUc9T2Ss0sd2nQZnLL/XT7J1lVzmbZom8Z1avva+R/dIznSJdU90k7cr5zGwMCA2NgYKldvSNN/eY+kp5v+w79/EvwukM2r5hIVEU5ychLOVWrT7qNj6vqlU2xeNY/pizSPqa1rFuL/SlWnEg6OdOmneUzdv3eT3RuXo29gQGJiAi079MGlxr87nxnrffl2Onl0P6ePHXh/TBnQd8gP6mvvuO/7UtaxAv2Gjlanv37lPPt2b1afz7v3GaJx7f0gJOgdv00aif+bV3TrM4T2XVIHjP+Js33Gt+bMCl6PtQ90+jVwLJF93c++FlkaPPjg8OHDTJo0idWrV1O9eurR1/fv30/ZsmUpWbIkoaGhnD59mqNHj2JjY8OCBao+Ya6urly6dInff/89zc8JDg5m5cqVDBgwgPz5VReLD10XFi9eTM6c2psyKRQKmjZtip6eHlu2bFHPUPCpwMBAjh07hre3N0WKFGHAgAGp5kLeuXMnEydO5PHjx+jr6xMWFoaxsTEGBgZMnjyZe/fusXXrVmbOnEm1atXo1KmTRt7NmzfTo0cP+vTRPGmEhoayZs0awsPDGTlyJHnzqkZ2j4uLo2vXrjRo0IDevXsTExPDX3/9RcGCBenYsaP65Ozg4MD8+fPV007OnDmT3bt3M23aNCpXrvxZsy78l+DB10qCB9+G/xI8+Fp9afDga/alwQOR9b4kePC1+y/Bg6/VlwYPvmb/JXjwtfqvwYOv0X8NHnyN/kvw4GsmwYOMJ8GDbAoeZJWEhIT/NBVFVnn06BGFChXCyOjfN//38vKiZMmS/5gnOjoaM7PM/SEswYNvgwQPvg0SPBDZSYIH3wYJHnwbJHjwbZDgwddFggdft692wMSM8C0EDoB/NdbApxwd/10z28wOHAghhBBCCCFERlAqZbaFr1mWD5gohBBCCCGEEEKIb4sED4QQQgghhBBCCJGu/+luC0IIIYQQQgghvg0KpNvC10xaHgghhBBCCCGEECJdEjwQQgghhBBCCCFEuqTbghBCCCGEEEKIbKeUbgtfNWl5IIQQQgghhBBCiHRJ8EAIIYQQQgghhBDpkm4LQgghhBBCCCGynVIp3Ra+ZtLyQAghhBBCCCGEEOmS4IEQQgghhBBCCCHSJd0WhBBCCCGEEEJkO5lt4esmLQ+EEEIIIYQQQgiRLgkeCCGEEEIIIYQQIl3SbUEIIYQQQgghRLaT2Ra+btLyQAghhBBCCCGEEOmS4IEQQgghhBBCCCHSJd0WhBBCCCGEEEJkO5lt4esmLQ+EEEIIIYQQQogM9Oeff1KxYkVq165NzZo1cXd3Tzf93r17cXFxoW7duri4uHD8+PEsKum/Jy0PhBBCCCGEEEKIDLJp0yZmz56Np6cntra2nDx5kiZNmuDl5UWBAgVSpT979iwDBw7kxo0blCxZEi8vL2rVqsXZs2epVKlSNtRAO2l5IIQQQgghhBAi2ymVOl/t3+f47bffGDp0KLa2tgA0adKE0qVLs2TJEq3pZ8yYQadOnShZsiQAjo6OtGzZktmzZ/+3LzSDScsD8Z/poMzuIoh/wS8qX3YXIcNVvzwtu4uQ4bwbTMzuImS4PMrg7C5ChjOPDszuImSKsLvpN6n8FoWUd8nuImS4/D5u2V2EDPfgpUF2FyHDed2NyO4iZLhebc2yuwgZzsl9eXYXIXPYT8nuEvzPiY+PJz4+XmOZkZERRkZGGsueP3+On58fjRo10ljeqFEjDh06lGq9iYmJXLlyhaFDh6ZKP3bs2AwqfcaQlgdCCCGEEEIIIUQ65syZg4WFhcbfnDlzUqV78+YNAHny5NFYbmdnx6tXr1KlDwoKIiEhQWv60NBQoqOjM7AW/420PBBCCCGEEEIIke0U2V2AdEycOJGffvpJY9mnrQ4+pq+f+qe2QpF2DbWl/6c8WU2CB0IIIYQQQgghRDq0dVHQJn/+/AAEBgZqDI4YGBhIwYIFU6XPnTs3hoaGBAZqdokMDAzE0tKSHDly/MeSZxzptiCEEEIIIYQQQmSAQoUKUbx4cc6dO6ex/PTp0zRp0iRVen19fWrXrq01fePGjTOxpJ9PggdCCCGEEEIIIbJdds+okFGzLUybNo0VK1YQFBQEwIkTJ3j8+DFjxowBoFu3bixdulSdfsqUKezYsYPHjx8DcOfOHY4fP87UqVMz5ovNINJtQQghhBBCCCGEyCC9e/cmKiqKRo0akSNHDgwNDTlz5gx2dnYA+Pj4qP8HqFevHmvXrqVLly6Ym5uTnJzM/v37KVeuXHZVQSsJHgghhBBCCCGEEBlo+PDhDB8+XOt7d+/eTbWsQ4cOdOjQIbOL9Z9I8EAIIYQQQgghRLZT8nndA0TWkjEPhBBCCCGEEEIIkS4JHgghhBBCCCGEECJd0m1BCCGEEEIIIUS2+9xZDUTWkpYHQgghhBBCCCGESJcED4QQQgghhBBCCJEu6bYghBBCCCGEECLbyWwLXzdpeSCEEEIIIYQQQoh0SfBACCGEEEIIIYQQ6ZJuC0IIIYQQQgghsp1Cmd0lEOmRlgdCCCGEEEIIIYRI11cRPHjx4gX79+8nISEh3XRv374lLCxM/drd3Z1Tp06lmd7d3Z0DBw4AsGjRIsaMGcPz58959uxZup8zdOhQpk+frrFs6dKljBkzhoiIiDTzPXjwgDdv3qS77n9r+/bt/7guPz8/du7ciUKhwM/PT+M9Hx8flMr0Q3ebN2/m559/Jigo6D+XVwghhBBCCCHE/64sDR5s376d2NhYAA4ePIi7uzsAb968oUOHDly+fDlVnvPnzzNr1iySkpIwNzenXbt2vHjxAoBNmzbRq1cv9etPjR07lnXr1hEVFQWAl5cX5ubmtGnThnHjxqVZzufPn6Onp0dcXBwHDx4E4OjRo/j7+2Nubp5mvtWrVzNgwACUSiVTp07F3d2dYsWKUa1aNZycnKhZs6ZG8OH8+fM8evQIgKCgIJYtW6Z+b8aMGUycODHVZygUCq5du8awYcMoU6YMEyZM4PHjxzg4OFCzZk3q1atHvXr1qFixIiNGjNDI++jRIx48eKB+3b17dzZu3MjmzZvVy06cOIGrq2uadRRCCCGEEEKIzKBE56v9E1k85sFvv/3GvHnzsLKy4v79+9jY2ODl5UVycjI6OjrUrVs3VZ66devy559/0qlTJ9zc3HBxcWHo0KEcOnSIQ4cOsX//fgoVKpQq3/r167l//z7Pnz/H2NiYOnXqMGfOHCwtLdm9ezd37txh8uTJTJ06FSMjIxYvXqwOFNy9e5cHDx6we/dufH19OXbsGFevXuX69evo6mrGW+Li4vDw8EBfX5+goCBy587NqVOnMDAw4M2bNygUCs6ePcuQIUMYNGiQRvDhypUrLFmyhDJlyhAWFoaXlxdVq1alWrVqJCcnU69ePY3PSkpKwtXVFX19ffbv38++ffto3rw5oAoqbN68mRIlSgBQuXJlqlSpopH/4cOHtG3blpo1a6KjozoATE1NcXNz49ChQ4CqNUNSUhIVK1ZUryszBb/zZ/va+USEh5CUmEhZ52p06DkCPb20d82oyHB2bliE/ys/lAoFhYuVotuAMRibmKrTXDi1n5vXzxETHUlcXAzN2/Whet0WmV6f/1UhQf64rp9NVIRqO5UqX53W3Uemu52io8LZu2keAa9V26lg0dJ07DceI+OU7XTr2inOH9sBOjrERkdQuVYLGrcdkOn1+evuU/Z7P8PEQB+lUsmYOuUpmydXmum7bz9LDiMDjWX1iuelRwXVMRKXlMzKKz7cCwxFqVSio6PDqFplKZ/XOlProU3wuwC2rF5AZHgoiYkJlKtQlU69hv/jMbV93WL8Xz1DoVRSpJgDPQb+qHFM3fe+ieuWFejp6RMfH0eTVl2p1aBlptfnwNETHDl5BmNjIxQKJd8P7kcp+7TPTW8CArnmcZN9h44y9vthODuW1Xj/7j1f1m/dSbJCQUxsDBXKl2No314YGhpmdlXU9py6iNvZy5gYGaFQKvmpT0fKFi+sNW1ScjLbj5zl9v3HhEZEoVAoGN61NdWdyqjTPH7xmmXb3YiOjSMuPoGShfPzY5+OWJibZVWVANW+t3XNfCLCQ0lKTKCcczU6/ot9b8f6xfi/8kOhUFK4uAM9Bvykse+FhQRxx/MyZ4/9RaOWXandsHWm18W8rD12LepR5Ps+XKnTjdjnr9NNX2hodwoN7ExydCzo6uIzZjbhHl7q9w1yWVBm8STMSxVHR1eH8Fs++IyZQ3J0TGZXRcOho8c4euIUxu/3vRGDB+JQ0j7N9P4BAVx392D/wSP8NHIETuUdU6WJiIxkr9tBPG/eRk9Pl0oVnOnTs3tmViOVyNA3XNw/g9ioEJKTEihYsiZVm49GN519L9j/AR6nVxEfG050WCD5irtQveVYDI1V92mK5CRunVvPU6+T6Orpo0hKpGLDoRQv3zSrqoVVTl16NDUjh5kuBno63HuawP5zMen2Ca9R3ohGVUyIjdNMtOKvCGLjVcucSxpS29kYY0MdzE11uHQ7jlM34jKzKmoh7/zZuW4ukeEhJCUlUNqpOu16fJ/+/URkOK4bF+D/6ilKpZJCxUrRud84jfPEshkjSEqM18hXrKQT7Xv9kGl1AXD1fMC+W48xMdBHoVQyrkllyuWzSTN9l7WHyWGkeb1pUKogPauUVr9ef9kL92eBxCQmoVAo+L5eBaoVy5tpdRDic2Rp8EBHR4f58+fTrFkz+vXrh66uLt7e3vj6+mJsbMy9e/c4fPgw9vb2dOrUCaVSyfLlyxk9ejTjx48HoFq1aoSEhODm5saIESOoUaMG9+/fJ3/+/OTIkQNQtTD49ddfyZEjB6tWreLgwYPExMQQFhZGw4YNKV1adYCamJhw5swZWrRowciRI/npp58AaNasGbVq1aJv377kzp2bs2fPYmtry40bN7hx4wYHDhygT58+tG/fHmNjY86fP8+pU6d4+vQpurq6eHp6YmBgQMeOHQG4evUquXPnxsHBQSP4oKOjQ4MGDdi1axfnzp2jXbt25MyZE29vbyIjIwkJCeHIkSNcvnyZiRMnkiNHDnr06AHA+PHjMTEx4a+//qJVq1Zpft8f09fXx9TUlPPnzxMQEEDRokV5/vw5tra21KhRg4EDB1K8eHFMTEyyJHCQmJjAounfUaNeK1p1GkBSYiKLf/uev7b8Trf+P6WZb+X8cdjlK8zUBVtRKpWsWzaV9b9P47ufFwBw7uQ+EuPjGD1F1ZLj8f27zJ86FPMcljhWrJHp9fpfk5iYwB8zh1KlTmuadhhMUlIiK2cN48D2pXToMzbNfOsW/YRt3sKMn7MTpVLJlhWT2bJiMoPHLgHA7+Edjv71J6N+3YB5Dkuio8JZMrUfZuYW1GjYMdPqc9DnORvdH7Kte32sTI24+jyQ79wus7tnQ+xymGjNUzK3BdObVEpznUsueGFmqM+6TrXR0dHhyrNAvne7wqH+TbEwzrofpYmJCSyYNpKa9VvQunN/khITWTj9B1w3r6D7gNFp5ls+dwJ58hfi10WbUSqVrFn6K2uXTWfkhHkAvHnpx5IZP/HT1CU4lK1ASPBbfv2pD6ZmOahYtU6m1ef4mb/Zvmc/qxfPI5elBe637jBu6kw2LF9EbhvtgRn/gEASExOJiIxM9Z7f8xeM/eU3pk8cS3WXSiQkJDBl1nz+WLeJH0cMybR6fOzQ+WtsdDvB1tk/Y2WRg2t3fRk5ZwU7503Czjp1AGvtnqOUKlaIvm0aA3D2+i3GLFzD5pnjsC+cn+CwCIb+toxhXVrRuUkdFAoFs9bu5JcVm/l9wohU68ssiYkJLPj1e2rWa6ne9xb99gOum5fTfcCPaeZbMe9n8uQrxLSFW97ve9NYu+xXRk6Yr04TEhRITHQEMdFRWVEVAMxLFkWZlIxxPtt/TFugT3tK/DyUS1U7kPAuBJtGNal6dD0XKrQm7nUgAJVclxP1yI/L1TsB4LRpPk4b5nKza+b+sPnYidNn2Om6hz+WLiKXpSUeN28x4ZdfWfPHMnLbaP+xozqekojUcjwBBL59y5RfZ9K+TSsWzZ2JkZFRZlZBq+SkBA6tGYhD5bZUajiM5KQEDq8dzNUjC6nZZoLWPNERb3E/+Qf1u8zCyCQHCXFRHFk/lHN7ptKk12IAbpz4Hb97Z2k3fAsm5lYEvXmA28pemOW0JU+RCpleL309+LF7Tq56xXP0Six6ujC6e046NTDD9Ux0unl3n4zmwYtEre+VLWZAiQL6rHCNQAnYWekyoa8lCUlw/mbmBhASExNY+ttwqtVrRYuOg0hKTOT3mSPYt3UZnfuNSTPfqgVjsMtXmEnzd6BUKtn4+xQ2Lf+FYeMXqdNYWFrTb+SMTC3/pw7cecL6S97sHNQCKzMTrjx5w/AdZ9gzpBV2ObUHbx3scjGjTc0017nH8yHGBvqs6tkIgKPefoxy/Ru34W3Ja5G1AWEhtMnyMQ/Gjx9PvXr1OH78OIaGhiiVSsLCwrC1tUVHRwc3NzcOHDiAQqFg165dHDp0iNu3b9OjRw9WrVrF27dvqVy5MlevXiVnzpysWrWKNm3aUL16daKionjx4gXLly9n1apVAPTr14+jR49y7do1Nm/ezO3bt2ncuDF//vknixcvxtvbG4D4+Hh1k/8bN26wfv16KlasyJgxY9i9ezdnzpyhX79+dOjQgStXrvDw4UP1mAJjxozh3LlzNGzYkO+++w4fHx+2bt2qDhQ0bNiQ3r17U6tWrVTjEJw9e5Z69eoxevRoAPT09AAIDQ3Fzs6OO3fusGXLFoKCgnj69CkNGjSgUaNGBAYGMnr0aLp3787MmTNRKpUMHz6cdu3a0a5dO548eUJSUpLGZ+nq6hITE0O9evXo2LEjcXFxdOzYkXr16uHt7c2CBQvo2LEj7du3T/NGISPduHiC0OB3NG3TEwB9AwNadOzHmaO7iYoM15rngbcnD+7dpHXngYAqQNK68yA8r53l1XNVF5CH9zxp3LqHOk+JUuWpUKUu1y4cy+Qa/W/yvHyMsJC3NGjVBwB9fQMatxvI+WM7iI7Svp0e+Xjw2MeDZh1UP8h0dHRo1nEId26c4fWLhwA8uX+LUo7VMM9hCYCZuQVlnGvi//JJptZn3fX7dHAsgpWp6ia3emE7ilrlYPutx1+8zltvgmjmUFAdsKtRxA59XR0CI2MzpMz/1vWLJ1XHVFvV/q9vYEDLjn05dcQ1zWPqvvdNHty7SZvOqhYfOjo6tO0yAI+rf/Pymeo7ObJvK8VKlsWhrOqG2craltqN2uC2e12m1mfLrj20btqYXJYWALhUcKJwwfz8deBwmnkqOZena/s2mJqapnrvwLGTlCvtQHUXVSDI0NCQof16c/T0WUJCwzKlDp9at+8YHRrWwspCFeyuVr40RfLlYcfRv7Wmf/0umPouTurXDapWoGTh/Jy+fguAoxdvkMPMlM5NVEEcXV1dRvdqz/W7vtz3e5nJtUlx/eJJwj7d9zr05fTR9Pa9D+fzj/e9gXheS9n3AIqVLEvzdr2xsrHL/Iq8F7D/JE+XbPhXae0nf8eLtbtJeBcCQNDpy0Tdf0LRUf0AsKrtglUdFx7P/lOd5/GsleTt0JQc5UpmeNnTsm2nKy2bNSWXpSUAlStWoFDBAux1O5hmnorOTnTu0A5TU+2B1fmLl9GlY3taNGuSLYEDgEe3jhAdEYhTnf4A6OkbUqHBYLwubycuJkxrnmf3zlK+Vm+MTFTHoaGxORUbDOXp3ZMkJyWgVCq5e2kbFeoPwsTcCgCbfA6UrtKBm2fXZEm9qpQxIlcOXU5eV11HkhVw7EosDVyMMTP+8ubTVcoYsf9cDB/uRgNDFFy6HUfVspm//TwuHScs5C2NW/cGVOeJZu378/exnUSncZ54eM+DRz6etOg0GFCdJ1p2HsKt62d4/f6+L7usuXiXThXtsTJTHR81iuejqI0F2677fvE6dXR06FbZQf26XskCxCcl8yxY+/fzv0ip1Plq/0Q2TNX4ccsDY2Njypcvz61bt8ifPz/lypXD0NCQWrVq8fr1awYOHMiSJUvo06dPqqfoCoUCX19fgoKC6NSpE/369cPc3Bxvb29Wr17N33//jZmZGZbvL5IAPXv2JDk5mcGDBzNx4kSKFi1KcnIy48ePx9zcnM2bN2tc/A4cOICLiwt+fn7Mnz+fiIgImjRpwp49e6hduzYA+/btw8fHB4BLly4RFRXFpEmT+OOPP5g2bRoA9+7dIzw8nKdPnxIbG6txU/tpywMHB9UJIzExkapVqxIfH0/BggUpWrQoAKdOneLy5cvUrVuXvn37Mnr0aHR0dChSpAi9evXCxER1Ajt9+jTR0akj07a2tpw7d07dxeLYsWOYm5tTrVo1hg0bRr9+/f7jFv737t/zxL60EwaGKd95aUcXFAoFj3xuUaFqPa157PIVwsomj3pZnvyFsbKxw/euOwUK21PK0SVVPiNjUyLCZGDIL/HIx4NiDs4a26lkuSooFAqe+N6kvEv91HnuuWObtzC5PtpOdvmKkMs6Dw+9b5C/UEmK2DuyduGPlK1Yh1LlqxES5M8jHw/6/TA30+riHxHD64gYqhbUfJpYpWBuLvoFpJnvcXAEI/ZfJi4xCRMDfZqUzE+bMoXV56VyeaxYdsmb6U0qYWNmzIF7z6iQ34aSuS0yrS7a+HrdxL50eQw/2lZlyldGoVDw0Oc2Faum7hrm6+1JnnyFsM6d8sNMfUx5eVCwSAnue3tSv2kHjXxlnVw4vGcTMdFRmJqlPRbMlwp4+w7/wLdUctJsJl3RyZGrNzy/cJ1vyZtH8wdo/nx5SEpK5vnLV1jlsvzS4v4r/u9CePM2mCqODhrLqzg6cNHTW2sel7Kpf1yaGBsREaU6v795F0w+W81WGDnMTLHIYcbD568oVbRgBpU+ffe9PSnxyb5X+h/2vfveN7HLVwjr3FrO517uFCyS+S3g/iuTQvkwLVaQoLNXNJYHnbmKbSvVudG6bhWiHz4j7lXKOSb60TNiX7zBun41Ir0fZno5A9++JSAwkArOThrLKzg7ce2G+xet88lTP3zvP6B7l05MmvYbkZGR6OjoMnzIQEo7ZF1Q5M2TG+QpUhF9g5R9r0CJaigVyfg/9aRouYap8pjmtCWXXXGNZQZGpigUSSTEqVq4JCXEYGGtefxYWBfmyd20B+rOSA6FDXj8Komk5JRl958loqsD9oUMuP0w7UHGOzU0JSZOibGhDm+Ckjl0MYaQCAUAj14mkqzQTB+fqMTMJPN/GD2450HxUpr3Ew6OqvuJR743ca6S+n7iwT0PbPMW1rjvs8unur+473WD/IVV3W4iw0NY+tswkhIT0dXVxbFSbRq06I6evkGqdWaEN2FRvA6LompRze4E1Yrk4fyjV2nme/w2jGHbT6vuJwz1aVqmCG2diqvvJzpWTOlGlKRQsNP9PuXyWVOpUNYFT4VIT5YHD7QJCgqiQIECAMTExGBubk7evHm5cOEClSpVwsPDI1XwYPz48dy8eZOJEycye/Zs9fJq1aoBYGFhQWBgYKpxA0A1ToGzszPFihUjKCiI2NhYTExMCAoKIjExpZmXk5MT9+7do3fv3uzcuZOwsDBatmyJtXXKjVr79u3p0KEDnp6e7N+/n+3btxMTE0OVKlUoUKAAy5cvJ2/evHz33XdMnDhR69OwTwUHB6NUKilQoID6+/hAT09PPYPEw4cPadKkCU5OTnh4eLB9+3Z1unfv3vHy5UseP36Mra3qh1JSUpK6a8eHFhDNmzdHT0/vX83OkNHCQt5hmUuzqaSenj5m5jkJCX6bZh4Ly9TNK3NaWhP6Pk+dRu003ktKTOTe7WvUbtQ2Ywr+/0x4aOrvXLWdLAgNDkwzTw4t2ymHpTVh7/OUKF2JboN/Yd2in7DLX4SYqAj6fD8Lu3xFMrwOH7yLVj3BsTbTfMJibWpMYFTarQRmNq1EUaucAPiFRPLz0Rs8CY7kpzqqH7bj6zkx/9wd2m46Sbk8uVACy9pUz5xKpCMs5B2WVqm3lbl5TkKC0jqmgrDIlboLgIWllTqPtjQ5LVVP40KCAzMleBAconqK++kP+lyWlrwLDv6ideaxtcXvueYAu0+fqV6Hhmf+U51371s3WFvm1FhuZZGDtyFhWvO0ra/Z1SosIgqvR360qK0a0yZfbmuu3PZRj7UBEBQWQVhkNKERWdfMX9s+ot730jhPqM7naex7aVwDvjZG77s1xAdoBqfj3wZhnD+POk184LtUeePfBqvTZLbg4LSPp6CgLzuefO4/QE9Pj4uXrzBj6mT09PQ4eeYsE6ZMY/2fK7BJo2tRRouOeItpztway3T19DEytSAqXHtQuGjZBqmWPfP5mxy58mNiboVSqUTf0JSwd8/IWzSly1pwwENio77s+/pcFua6hEdp/spXKCE6VkmuHGk3HL73NIFbDxKIjVeiqwNNqpkwbZAl09eFERKh4NKd+FR5ypcw5NmbJC1ry1jhIe+w0Hrfl879RMg7rdeonBZWGnk69x+Hbd5C6OrqEhocyIZlk3hy/45G14aM9O79PYO1uWarHCtzE95Gpj2Wyax2tShmo3qw4BcUzri9F3jyLowxjStrpJt3wp3j9/ywNjNhXofaGOrrZXANhPgyWR48GD9+PHPnzuX+/ft069YNgKdPn6qfuIeHh2Nubo6+vj6VK6sOJBeXlCfJ169f586dOzg4OLBv3z4sLS2Ji4vD2NhY43P09PQIDAwkICCAly9fcunSJVq0aIGFhQVFihShWbNm9O/fX53+4MGDLF68WGMdsbGxuLu7U7hwYV6+fElERIRG4ABUzYsuXrzIr7/+yo4dOzA0NOT169d06tQJX19fZsyYwZs3b5g3bx5Vq1ZN9X186Lbw8RSUT58+pWDBgpiYmKi/jw+SkpI4c+YMNjY2dO3alR9++IG+ffuycOFCdWsCPz8/ihQpkuqzIiMjsbKyIjk5GaVSSffu3dm8eTMGBgYMGzaM3Llzp8rzqfj4eOLjNS88CQmJGk+bPoeunvaToVKp0Lo8vTyKNPLs2bYcPX19mnzUlUF8ni/ZTnpp5lEFqUKDAnC/cJjBYxeTO29hzh3dzoqZQ+k6aDJV6mTugGh6OqlvvNILnn0IHKj+z8HE+k4M3nORQVUcyGlsyIWn/iQkKTjYrwlPgiNYe+M+PXf+zcr2NcmT458DhhlJV/cLjql/kSfNfSC9kbsygLb96EsDne1bNmPwqHEcP3OOZg3rERIaxt6DR4DUP6oyk56utv0v7e2TkkbJnPW7KFEwH81rqq6LrepWZdOBk6zff5yB7ZsRExfPyl0HMTU2wvp914isktaAZ+ntI2meJxT//H18TZRJqX946ejqfPR+cqr3P02TFbR934ovPJ4ioyKJi4+nT8/u6vU2adiAXX/t49TZv+nepdN/Kuvn0NVNY9/7F8cVQOALL7wvb6dRz4WA6t7OqU5fPM+sIl/xKlhYF+S57wXePPXANEfag+FltLQOHZ10dpvwqJRMCiUcvxpLmaIGNK5iwu7TqVukNqhsjJ2VHqv3Z353VSDNQSzTO6+nvX1T8uTJX0T9fy5rOwaMms2EIU15+ewBBYs4aMmdMfS1HMPpHVMfAgcARW0smNy8KgO2nGBwLUdymqTcS//c1IWfm7pw7uFLBmw5wcrujSibL+sHYc4OWfwsU3ymbO228MGVK1eYP181ONLbt2/JkSMHCoUCpVKZ6kL3xx9/EBkZyf79+wFV94VmzZpRrVo15s7V3tzZy8uLgQMH4ufnh4WF6qA1MNBsxvQhsBAbG8vcuXPp0qULderUoVy5ciiVSh48eEDLli25c+cOTk4pzf52795N0aJFsbe3p1mzZhQuXJi4uDh194gPdQoMDOTJkyca3SggdbeFD9/Hh24RH76PD7Zv386wYcPUdd23bx+FC6cepfvMmTMEBATQs2dP9TJ/f38KFCjAkSNHWLBgAYGBgTRurBqEKyAggG3btrFjxw7atGmj9XsEmDNnDtOnT9dY1n/ERAZ+NynNPACvnj9i+9oF6td58hcml5UtEWEhGumSk5OIjopIs29rLqvcPL5/J9XyiLBgjSZtHxzZu4Gb188xbvqfmJpl7Y30t+j1i4f8tSHlOLLLVwTLXLZEhmk+aVFtp3ByWWt/amZpZcvTB7dTLY8MCyaXtWrbblo+gbrNeuDgqGot1KHPWIqXqsjm5ROoWKMZ+pnQ1DD3+36JITFxGoMjBsfEYWeu/Ud+YrICHR3Q/+gHXylbS5TAi7AochgZsOiCF259G2NioI+1mTGVC+Zm3JHrrLl+n6mNKmZ4PQBePnvMtrUL1a/z5C9MLmtbIsJTH1NR/3hM3U21PDwsRJ0nl3XuVMfqh9dWNv88oNyXsLF+37IhLExjcMTQT15/jsIFC7B0zm9s3b2HQ8dPksfOltbNG3P5ujvFi2if7SAj2VpZAhASHqkxOGJIeCS2WgZL/JhSqWTeht34vwvm94nfof/+KVSunDlY/9sYVrkeZsDURdhY5qR/u6Ycv+xBuRJFMqUeqn0v5XyeN39hclnnJlzLeSLdfc/6n/e9r92HAREN7WzU/wMY2doQ+76bQtzrt+SqnnqAPSNba3WazGbz/sGH6vhJ+fH7X44nK8tcGBsZYW1lpbHcNrfNF7cO+ifB/g+4uH+m+rWlbVHMLOyIidRs+aFITiI+Jhxzy38eoT7ozQOObRxBrXZTKFaukXp5lSYjMTLJyZmd49HV1aegQy2KlWtEeLD26cH/i/y59ejRNOVBUUBwEmFRCnKaaQYadXXAzERH3QVBGwN9SPwklvUiIIn8uVPf8lcrZ0SrmqYs3hFOcHjGBuxeP3/ErvWf3E9Y2xKRxv2ElbX2Y97SypYnD7Tc94WHkOv9eUKpVJKUmKDRHSKXtR3mOXMR+PpZpgQPbN8/GAiOjtMYHDEkKjbNwRK13k+8b634PCQSx/xGGq3IAOqVLEiNYvnYet2Hue1rZ3g9hPhc2dptISAggEOHDhEREUHDhg0JDw8nMjKSXLlyERcXR9OmTVMFD+7fv691GsPr16/j6+urnknh42ikr68vFStWxM4u5cSk+OSphr6+PjNmzKBhQ1XfOENDQ+bOnUurVq0oUaIEuXLlom3btqxevZqVK1eq83Xt2hWADRs2MHDgQKZMmcKzZ88oUaIE586dA2DXrl2sWrUqVeDgU8nJydy8eZNNmzaxdOlSAF6+fKmeijI+Ph53d3d+//13dfCgRIkSbNy4kU2bNqkHSOzWrRvGxsaYmprSsWNHdasMHx8fqlevTps2bWjTpg2TJk1i7NixmJmZUbt2bXr27EnLlulPvTZx4kT1rBQfeD7VPqLvxwoUtufnmZqDDF09d5Qd6xeSlJSo/qHo6+WOnp4+Jcto/8FVytGFg67riAgLUTebDnj9nJCgQMo6V1OnUyqVuG5eyounD/hl/mZy5MzFsf1baN6+zz+W9f+z/IVKMvpXzUHCblw4zJ5N80hOSlT3HXzofQM9fX1KlNE+A0HJclU4tmc1keHB5LBQ3ZgGvnlGaHAApZxUzbDfPH+EjV0BjXzFS1ckMSGBpMSETAke5M1pSgELMzxeB1HaLuXH2o2X76hWWPuP4D+v+vAuOo4ZTVOaFL6JiEFXB/LkMMUrIAQLY0NMDFJOp7o6Ojjns8bLP0TbKjNEwSIlmDhrlcayy+eOsX3dIpKSktDXV5XH564H+nr66sEOP1WmfGUO7F6v9Zgq56xqLVXasTL3vT1p3i4lGHnvjjtF7ctgZp5T63r/K7vcucmXx447Xj44lEjpm3zzjheVP+m3/TnKONgzZ+pE9esN23bRpEFdcphnfNeLT+WxsaKAnQ2ePo8oXSxliuEbXg+o5lg6zXwJiYlM/3MbAGum/YixkSFbD52md2vVD50i+eyYO3qgOv2Bv69QqYw9RTKpSbxq31utsezKuaNsX79YY9/zveuBXjr7XmlHl7T3vQrVtOb52sS99Cf68XOs61Qh4uY99XKbhtUJOnUZgOBz17CfMgLD3FbqQRXN7ItgUigfQacuZUk5bW1zky9vHu7c9abkR7Mp3bp9h8oVnL9oncWLFSUuPp6Q0FCscqWcT/0DAqhcMXNmI7DO60C7EVs1lj3wPMilA7NITk5ET0913Xj1+Bq6evrkK1ZZ22rUXj+5wbm/fqFh97kULFmTR7eOkKdoRXJY5kVHVxfnuv1xrqtqpZqclMCuha1p0G1Ohtfr9btkFmzT7DpVrZwR3RqboaeLeoyCUkUMSFbAozRmUjAygCU/WjN9XRiBISmtXWws9QgK12z90sjFmOrljZm9KYygcAVNq5lw4lrGDfKbv7A9Y35br7Hs2vkjuG6Yr3E/8cDrBnp6+tincT9RyrEKR/5aQ0R4CDktVOeJwDfPCQ0KoIyTqnvghZN7uHHxKONmblTni42JIjoqHGvbfBlWp4/ltTCjYK4ceDwPpMxH0zJfexZA9TSmVVx5/jZvI2KY1a6Wetnr8Gh0dXTIa2GG1+t3jN97kf3D22D80T1FYrLii1sICZHRsmS2hYSEBH799Vfevn3L6NGjqVu3LjY2NgwaNIiZM2eyZs0adHV11QMP5smTB1NTUy5evMi5c+c0/po1a0bdunVTLf/777/VgQNQjWtQuHBh4uPj2bhxIx06dODcuXP4+/vTsmXLVF0Inj59io6ODhMmpEzr07lzZ1avXs3SpUsZNWoUdevWZePGjVy7di1VHbU1t4qMjOTVq1e8fv061ZgNe/fu5ejRo5w9e5YqVaqwfv16Vq5cyeHDhylfvjx166oGl/L19SVPHtUN4MuXL5kzZ47GdI8A/fv35/z58+qxED60ZDh69Kg6cJCcnMypU6fUUz0CjBw5ks6dO9O2bVsaNWrE6tWr02xC+oGRkRE5c+bU+PvSLgsuNRuT09KK04d3AqopfI7u3Uizdr0xz6FqIXLf24M5kwYSGREKQMkyFXAoW5FDf6lGeVcqlRx0XUv1ui3IX7AYAHGxMaycPx4jY1PG/LqSHDlzkZycpF6H+DwVazQlp4U1fx9VjamRmJjASbf1NGqtmlYR4OE9d5ZM7UvU+++4eKmKlChTiWN7VQEjpVLJ8T2rcandirwFiqvXe3jXcmJjVP2yExPi2b91Ec5VG2FsknnTEQ2pWgrXO08JjVV1v7nyPJCXYVH0qqC6oZ547AY7Ppp5oWJ+G04+fMW9AFXdYhOTWHLRi46ORbExM6Zifhsi4hLY5+WnzvM8NBLXO09pXSbzn2Z/rGrNRlhYWHPy0C5Ata0O79lM8/a91MeUr5cnsyYOJjIiDICSZZwpVa4CB1xVN3lKpRK33eupUa85+QupjqkW7Xvz4N4tHj9QzVsfEhTIxTOH6NRreKbWp2/3zuw/cozwiAgAbty8zWv/ALq0U3Vr+W3BEvYcOJIqn1KpJC4ujoSEtAcUi4qOZpvrXm7cvM3w/r0zpwJaDO7Ygr9OXiDs/XgEV+/48CrwHT1bqvpgT/p9g8bMC8FhEYya9ycVSpdg1g/9MTYyJCwyikQtzeTjEhLYe+oi2w6fYdqwXllTofeq1GyMhYUVpz46nx/eu4nm7TT3vdmf7HsOZTX3vQOu66het7n6fP6x+LhYEhPT3qYZTc9M9WRR1zjlGqdjYECVYxvI26m5etmjmX9QZEQvDN63HrFpXAvT4oXVszWEXvYk5II79pNTps60n/Idr7YfIMo3c2eX+Viv7l05eOQo4eGq48nd8xZv/APo1L4dALPmLWTfgdQzL6iOp3gSEjV/sNqXKI5LpYqs3bCZ5GTVD9NDR48RFR1N4wapB77LLCWcmmFqbsPdi1sA1Y/8m2fX4FxvIMamlgC8fnyd/X/0JDY65T7A5/oePE//SdthmylYUjV13rtX9zDLmTqQHBLwiCPrh1LKpT15i2ROa7JPufvEExGtoKGLqpWcvh60qGHC8WuxRMep7jkdChkwvrcF5u8HO4xPhFdvk+hY35QPd51lixlQuogBp97P2qCnC72amZHHRo857wMHAJbmmf+ToHKNJuS0tObMkR2A6jxxbN8GmrTti9n788QDb3cWTOmvvp8oUboC9mUrceSvlPuJw3+tpmqdluQrqLqfKFbSkWeP73Hr+llA1Zph94b5lHWuQVF7x0+LkWGG1i7PLvf7hMaopri88uQNL0Mi6FO1DAA/77ugMfNCxUJ2nPB5jvcbVUuZ2IREFp/ypFNFe2zMTShqY4GODmy4khKIdH8WwMXHr+lSKfO6XnxtFOh8tX8ii1oeGBoacv/+fUaMGEGvXr0oVaoUAN9//z0//PADt2/fZuTIkbx+/RoHBwfy5tWM2CUkJLBp0yYuXbrEsWPH1E3t0+Pi4sLevXtp1qwZvXv35qeffiIwMJBFixZx4sQJTE1NmTkzZU7idevWMXnyZDZu3MiLFy/Q1dWlRYsWeHt7c/XqVb7//nv09fVp06YNHTt2ZOvWrTRokDLgTmJiIvnz5wdQd7nQ0dFh3759jB07llGjRmmULy4uDjs7OyZMmECTJk3Q19fn77//5siRIwwZMoQGDRrw6NEjXr16pW5lUeKjpwUff+6nXTA+GDduHL1796Z8+fK4ubkxdOhQdSAiMDCQ+fPnY2Jigo2NDRs2bODFixe4uLjg4OBA6dKltXaHyEj6BgaMmbaCLavm4HH1DMnJyTi71KFNl8HqNBHhIbx56Ud8XCw5cqpuzEaMn8/2tfOZPrYXOjo6FHdwpEufUe+/jwRm/dyPyIhQoiLDWeCtGpU9LOQddZu0z9T6/K/S1zfgu8mr2LVuJrevnyI5ORnHSnVp3mmYOk1UeAj+r54SHxeD+fvtNOinxfy1YQ7zJnRDR0eHovZOtOuVMt975wETOeW2gd9/G4SRkQmJifE4OFajWYfBqcqQkVqWLkRMYhIj9l3G1FAfA11d/uxQC2szVaDtaXAkVqYpY6jUKpqHuS2qMP/8HQx0dYlOSKJBiXwMcFFdyC2MDVnTsTZ/XPXhgM9zDPV0USphXN3y1C6aNYOhfaBvYMDYX39n86q5eFw5S3JyEs5VatOu6yB1mojwEF6/9CMuNoYcOS0B+P7nuWxds5BpP6lmtinh4EiXfiPVefIWKMzoKYvYvnYx+gYGJCYm0HvIOHXLhMzSpH5dYmPjGPPLb5iamKCvr8+iGVPV4xM8f/FKPY3jB65uhzhx9jzhEZEs/GM15cuWZsqYlPPvkj/X8sTvGXq6etSs6sLyeTPSPIdmhha1qxATF8+I2csxMzZGX1+PlZNHqgdR9HsVgJWF6v/gsAj6TJ6Prq4Op656cuqq6nz2+m0wP/ZOmf1i3b5jXL3ji1KppKpjKTbNHIeZiXHqD89EqvP572xZPQ/3K2dRJCfj7FKbth/te5HhIbx+9em+N49taxfw65g+6OhAcYfydOk7UmPdV88f5+ThnTx74kvwO3/cL5/m5xl/kplKzRmHXWtVS0QXt1UEHjqD7/h56BoakKN0CYwLpLRkfL39AHrmplQ9sZHkyGgUCYlcb9qPhLcpzbM9u/5AuWW/UPPaXlAqCb12i/sTFqT63MzUuEF94uLiGD9lqvp4mj9rOrk+HE8vX6ZqIbln/wFOnfmb8IgIliz/A8eyZZk4LqX14YSxP7Jq7QaG/fAjpqammJqYsGjOLCwsMqdFkjZ6+oa0GrKOC3t/5endkygUSRQpU5/Kjb9Tp4mNCiEk8DGJ8dGYmOXC4/Qq3E/8Tp4iFTi9YxwAycmJJCXGUUN3PABR4YGc2vYTSYnx5MiVl0oNh5K/RNa1iElWwJKdEfRqbk6l0obo6cKdRwkcupjSOiCHmQ75bPQwMtQhKlYVUPh9dwQd6psxsZ/qh2h0rJIF28J5G6oKEozqmpMi+fR5GZjMj91V508zYx0evvznVqT/lb6BAT/8spIda2Zx8+ppkhXJlK9ch1adh6rTRIaH4P/yKXEf3U8MHbuQXevnMmt8D3SAYg5OdOw9Wp2nYNFSjPrlTw7uWsnpQ9uIi43CoZwLPQan36X2v2pVvhgxiYkM3X4aM0MDDPR0WdOrsXoQxadB4eppHAFql8jP/I61mXfCHQNdXaISEmlUqhADa5YDwNzIkA19mrLi3G0GbjlBskKJnq4uf3RvSOXC30ZXLvG/T0eZ1UPso/pxvWzZMqpXr66eHWHZsmUcOHCAVatWUbKk9il+pk6dysGDB1m5ciU1atTQmiYxMZF9+/bh6+uLQqFg6NCh6h/1H9y8eZNBgwaxbNky9dgC/v7+5M2bl4MHDzJ58mTc3Nw4ceIEwcHBTJw4Ud0M88mTJ3Tu3JnevXszaNAg9XgEH/+If/DgAW3btsXX1xcdHR18fHwoU6ZMut/J+fPn8fHxYejQoejq6hIYGEj16tX59ddf6dMndVP7fPnysXPnTh49esTWrVtTtWz4oGrVqkydOpVFixYxcuRIjh8/zvPnz0lKSqJNmzaUL18eUHVp+OOPP9i3bx+TJk2iW7du/2oARYDLPlk3ondWqVkm85swZ7VTWkZY/tZVvzwtu4uQ4bwbTPznRN+YQjrPs7sIGc48WvvI4N+6eyaZGxDKDiHlU0/f+61z9HHL7iJkuP33S2V3ETKc192smZkhK/Vqm3ktA7NL1VuZMyNDdjPpPSW7i/BFznjFZXcR0tTQMWsD81+jbAkegKo1gaGhYXZ89L8SGBiIrq7uv/4B/V997vdx+PBhmjRp8q/yxMfHY2hoSExMDIaGhhn+lE2CB98GCR58GyR48G2Q4MG3Q4IH3wYJHnwbJHjw7fhWgwen736996uNyn9ZV+3/Jdk2YOLXHDgANAZXzAqf+320atXqX6f90DXDzOx/74QvhBBCCCGEECLzZcmAiUIIIYQQQgghhPh2ZetUjUIIIYQQQgghBIDMSvl1k5YHQgghhBBCCCGESJcED4QQQgghhBBCCJEu6bYghBBCCCGEECLbKdE+/bz4OkjLAyGEEEIIIYQQQqRLggdCCCGEEEIIIYRIl3RbEEIIIYQQQgiR7RQy28JXTVoeCCGEEEIIIYQQIl0SPBBCCCGEEEIIIUS6pNuCEEIIIYQQQohsp1TKbAtfM2l5IIQQQgghhBBCiHRJ8EAIIYQQQgghhBDpkm4LQgghhBBCCCGynVJmW/iqScsDIYQQQgghhBBCpEuCB0IIIYQQQgghhEiXdFsQQgghhBBCCJHtFMhsC18zaXkghBBCCCGEEEKIdEnwQAghhBBCCCGEEOmSbgtCCCGEEEIIIbKdzLbwdZOWB0IIIYQQQgghhEiXtDwQ/1ke47fZXYRMYJ7dBchw+rqK7C5ChnvZdGR2FyHDJcfrZXcRMlyQQZ7sLkKGi7awyO4iZAprwrK7CBkuv49bdhchw3mVaZfdRchwZTzuZncRMlx+W6vsLkKGi0tKyu4iZLin1QdmdxEyRdnsLoD4nyTBAyGEEEIIIYQQ2U6plNkWvmbSbUEIIYQQQgghhBDpkuCBEEIIIYQQQggh0iXdFoQQQgghhBBCZDuFzLbwVZOWB0IIIYQQQgghhEiXBA+EEEIIIYQQQgiRLum2IIQQQgghhBAi2yml28JXTVoeCCGEEEIIIYQQIl0SPBBCCCGEEEIIIUS6pNuCEEIIIYQQQohsp0Qnu4sg0iEtD4QQQgghhBBCCJEuCR4IIYQQQgghhBAiXdJtQQghhBBCCCFEtlPIbAtfNWl5IIQQQgghhBBCiHRJ8EAIIYQQQgghhBDpkm4LQgghhBBCCCGynVK6LXzVpOWBEEIIIYQQQggh0iXBAyGEEEIIIYQQQqQrQ4MHL168YP/+/SQkJKSb7u3bt4SFhalfu7u7c+rUqTTTu7u7c+DAAQAWLVrEmDFjeP78Oc+ePUv3c4YOHcr06dM1li1dupQxY8YQERGRfmWAPXv2sH79euLj49NMo1QqCQoK0vrezJkzGT16NMnJyf/4WR9cv36dkJAQdu3aleZ6M8qCBQv47bffiImJydTPEUIIIYQQQoh/olR+vX/iC4MH27dvJzY2FoCDBw/i7u4OwJs3b+jQoQOXL19Olef8+fPMmjWLpKQkzM3NadeuHS9evABg06ZN9OrVS/36U2PHjmXdunVERUUB4OXlhbm5OW3atGHcuHFplvP58+fo6ekRFxfHwYMHATh69Cj+/v6Ym5v/Yz19fX1ZsWIFynT2Fh0dHX7++WfWrl0LgKenJ9euXePatWvcuHGDR48e4e7uzqxZsxgwYAABAQGp1vGhXh/qOnjwYKysrKhevTqJiYlaP7dfv36UKVOGevXqafwVKVKERo0aERwcnCrPrVu3ePXqlfp13759mTFjBseOHVMv27JlC+fPn//H70YIIYQQQgghxP8fXzRg4m+//ca8efOwsrLi/v372NjY4OXlRXJyMjo6OtStWzdVnrp16/Lnn3/SqVMn3NzccHFxYejQoRw6dIhDhw6xf/9+ChUqlCrf+vXruX//Ps+fP8fY2Jg6deowZ84cLC0t2b17N3fu3GHy5MlMnToVIyMjFi9erA4U3L17lwcPHrB79258fX05duwYV69e5fr16+jqpo6bnD59GmtraypUqACoAgPW1tYYGxsDqgDI+fPnmTx5Mnp6ehrfR+HChSlbtix2dnbqH/xGRkYkJSVhaWlJcnIyP/30E8bGxkRGRvLHH3+o1ztz5kx69uzJtGnTuHnzJvfu3cPGxoZ8+fLx7Nkz1q1bx7x58zTKmpSURJUqVdi0aZPG8tGjR+Pt7Y21tXWq+l25coXx48fj4uKCUqlER0eHPHnysHz5cpYvXw7Aw4cPMTMz48aNG+TKlUv7DpBBjhw+zPHjxzE2NkahVDJ0yBBKOjikmd7f3x/3Gzc4ePAgP4waRfny5TXej46OZt26dQS9e0doaCi5c+dmyJAh5M2XL1Pr8f9ByDt/dq2fS2R4CEmJCZR2qk7bHt+jp5f2KSQ6MhzXjQsIeP0UpVJJwaKl6NxvHMYmphrp/B55cebQNgLfPMPAyJjO/cZS1N4xU+tz7MgBTh0/gpGxCUqFgoFDv8O+ZKk001+5dIF9f+3EyMiI+Ph4evTuT8XKVdTvP/N7yuYNq4mJiSY+Lo6ixUowYMgIcuTIman10Cb4nT/b184nIjyEpMREyjpXo0PPEeluq6jIcHZuWIT/Kz+UCgWFi5Wi24AxGtvqwqn93Lx+jpjoSOLiYmjerg/V67bI1LqcOLqfMycOYWRkglKpoN/gHyhRsnSa6a9dPofbnu0YGhmREB9P116DqFCpqvr9e3dvsWblQiwtrTTyDfl+HPkLpL7+ZJajRw5x4vgxjIyNUSoUDB46nJIl0z73Bfj74+5+nYMH3Rj5w4+UL++k8X5ycjI3PT24fOkiQUHvmDl7XhpryjyqOh3F+H2dBg0d8a/qdOjgfkb+8BOOn9QpMjKCtav/5OXLFyiVSooXL8GgIcMxMTHJ7KqoHTp6jKMnTmFsZIRCqWTE4IE4lLRPM71/QADX3T3Yf/AIP40cgVP51OexiMhI9rodxPPmbfT0dKlUwZk+PbtnZjU0mJe1x65FPYp834crdboR+/x1uukLDe1OoYGdSY6OBV1dfMbMJtzDS/2+QS4LyiyehHmp4ujo6hB+ywefMXNIjs7aFo0hQf64rp9NVITqvFeqfHVadx+Z/jUqKpy9m+YR8Fp13itYtDQd+43HyDjlvHfr2inOH9sBOjrERkdQuVYLGrcdkBVVAiAs6A2Hts4kOiKYpMRE/o+9+46K6ngbOP4Flt6LoCBWEBsK2Dv2buwtFmJN0ZhoorGbxN57NLFHY++9Y1cERVGxKxYEpHfY9v6xurjuQvwpK8Z3Pud4jty9s8xw787Mzp15xsO7Nk07/5BnuRQKOXevn+Hm5SMkxUfRb9QqnefdCzvHxWP/kBT/AmMTM7p9Mxs7J/33l+JjX7B91VRVf0KWTdlKtWjd/ft/vVY718x41Z9Q4F6yPB365lwruVzGiT1ruBZ0FCMjCTKZlKYdBuJTo6ney3No/26OHt6n6ssqlPQbNCTP/sSFc6fYsfUfTE3NyMrKpEevfvhVzWmnfv5hMKYmphgYGqiPJcTH4+lVjmEjxui1LILwLt5r8MDAwICZM2fSokULAgICMDQ05MaNG4SHh2NmZsbNmzfZt28fnp6edO7cGaVSyaJFi/jhhx8YOXIkADVr1iQ+Pp5du3bx7bffUrt2bW7fvo2bmxvW1taAaobBpEmTsLa2ZtmyZezZs4f09HQSExNp3Lgx5cqpOpHm5uYcP36cVq1aMXToUIYPHw5AixYtqFu3Ln379qVQoUKcOHECZ2dngoKCCAoKYvfu3fTp04cOHToAquURs2bNUn8pjYiIIDExEX9/fwCePXvGkydP8PPzo02bNuq/h5ubGyNGjKBUqVLExsby3XffYWBgwJ07d1AqlQwePJjTp0/z8uVL9Zf0X375BQCFQsHIkSNp2bIlmzZtwtDQkICAAJKSkjA0NKRjx468fPkSPz8/unXrpnEdDh06pM7ba/fv36dsWd2VlkQioXTp0gQGBnLx4kU6dOjA48ePMTU1pWjRoqxatYqUlBR8fHz0PnBw9OhRNm/ezMJFi7Czs+NKSAjjxo1j6dKlOBUqpDNNVFQUUqk01yUny5cto3WbNnh5eaFUKlm8aBG//vory5Yv12dRPntSaTYLfv+Gmg3a0LLTAGRSKYumfMvO9Qvo3HdErumWzx6Bi2txRs/4B6VSyZpF41i7eDyDf56jPufc8V2cObqNrv1GUqpMpVzfKz8dP3qIbZv/Yc7CZdjZ2XP1ymUmjRvJgqUrcXLSvveuh15h8YJZzJq3FLei7jx+9JAxPw/jt2lz8PAsQ2JCPONG/UjPPv1o1eYLFAoFSxbOYd7MqUz4ffpHKdNrUmk2c379jtr+bWjTuR8yqZS5vw1h67qFdP9qeK7pls78GRfX4kyY9TdKpZIVCyawcuFEvhs1C4DAIzuQZmXyw7gFANy/fZ2ZEwZjZW2Ht19tvZTl5LED7NyynhnzV2BrZ8+1K0FMHj+cOUvW4ujkrHV+2LUQ/lg4g2lzl+PqVoyIxw8YP/I7Jk5dQGmPnC+x7Tt/ScMm+h30yMuxo0fYsnkj8xcuwc7OnitXghk/bjRLli7Xef8BREW9QCqVkpKcovN1qVTK06dPyMrOQvY/LJPLL8eOHmbr5o3Me6NME8b9wuKlf753maZN+Q1Xt6LMW7AEpVLJ3NkzmDdnJmPGTdRnUdQOHzvOxi3bWDJ/DvZ2dgRfucov4yfx55IFFHJy0pnmRVQ0UqmMlBTdZYqOiWHcpMl0aNeGOdMnY2pqqs8i6GRVpiRKmRwzV+3P0NuK9umAx6jBnK3RkeyX8Tg1qUONAys57duWzOfRAFTZsojUe484V6szAJXXzKTyqulc6fa9XsvxJqk0myWTB1O9fluadxyITCZl6ZSv2b1hPh37/JRruhVzhuNcpDgjp21EqVSybvFY1i0ey8Cf5gHw6O41Dmz9g2GTVmFlbUdaahLzJgRgaWVL7cad9F4umTSb1bMG4FvnC/zbDUYmy2btrEEc3jyHVj1H5ZnuZeRDpNmZKOQynecc37mEJ/eu0vrLX3B289BXEXTm7Y8pg6hWvx3NOqiu1bKpX7Nnwzw69Ml9JvGqOT/iXKQ4P03bhFKpZP2SMaxfMpb+I1TX6sCWJdwIPsnQiauwsnHgecQdFk36Clv7QpQs46O38pw4epDtW9Yza8Gf2NnZE3rlMr+N+4l5S1fhpLOdusKSBTOZOW8Zrm7uRDx+yNifh/Lr1LmU9vTiwb07tGnXiQaNmqnTZGdnMXnCKPr2+1pv5fjUKJQG/36SUGDeO+bByJEj8ff359ChQ5iYmKBUKklMTMTZ2RkDAwN27drF7t27USgUbNq0ib179xIaGkrPnj1ZtmwZMTExVK1alQsXLmBjY8OyZcto164dtWrVIjU1lSdPnrBo0SKWLVsGqKbpHzhwgIsXL7J27VpCQ0Np2rQpf/zxB3PnzuXGjRsAZGVlqafwBwUFsXLlSvz8/BgxYgSbN2/m+PHjBAQE0LFjR86fP8/du3fVyxIMDAyoXr06gYGBBAYG0r9/f6pUqaL+eciQIRQrVkxj4ABUT31q166Ns7MzFSpU4Pjx4wQGBtK6dWtatGjBqVOnkMvlmJmZERamGrF/vdQjKioKQ0ND6tevz7x589S/r3LlyjRs2JCwsDCioqK0Bg5ANTjyOm+v/3Xu3BmFQqH7Yhsa8vDhQ/z9/fnuu++IjY2lefPm+Pv7ExMTw8iRI+nTpw8dO3bMc6lGftj4zz+0bNUKOzs7APyqVMHd3Z2du3blmsbX15dOnTtjYWGh83WvsmXxejVzwcDAgOo1avD06VOk/xKDQ8hb8LlDJMbH0KRtbwAkxsY0b/8VJw9uJC0lSWeauzeDuXcrhJadBgKq69Gq8yCuXjrO84h7AERHRrBn0xKGjlv60QYOALZs/JvmLdtgZ6caIPP1q0ZR92Ls2blN9/mb1lO7TgPciroDUKJkKapUq8G2zRsAOHn8CJZWVrRq8wWg+px9NeAbQq8G8+D+3Y9QohxBZw6TEPeS5u2+BFTXqlWnAI4f2ExqLtfqzo0Q7ty8Qtsu/QHVtWrbZQAhF0/w7NW1unszhKZte6rTeJSthG/1Blw8fVDne+aHbRvX0LRFO2xfXafKftVxcy/Bvl1bdJ6/fdNaatZpgKubagZB8RKl8atWi51b/tZbHt/Hxo3radGytfr+8/Orirt7MXbt3JFrGh9fPzp26pJr3WdmZkbHTl2oUqWaXvL8bzblUqbdO7fnmiavMoWFXeNG2HW6dVfdcwYGBnTv0YsL58/y+NEj/RTiLes3bqF1i+bYv2qjqvr5Usy9KNt37ck1jZ9PZbp0bI+Fhe7ZETPnLqBrpw60atGsQAYOAKJ2HuHhPN1Pot/mOfY7nvy1meyX8QDEHjtH6u0HlBwWAIBDvWo41K/G/al/qNPcn7KUIh2bY12xTL7nPTch5w6SGB9DozZ9AJBIjGnavj+nDv5DWqrueu/erWDu3wqmRcdBgOoea9FpENeCjvP8iarefnD7KmW9a2JlbQeApZUt5X3q8OLpA/0XCrh+8QDJCdHUaREAgERiQv02A7l4dAPpqYm5pjMxNadeq36UqVRP5+sPw4MIu3iAPsP/+KgDBwBXzh8kKT6Ghq1zrlWTL/pz5lDu1+r+rcs8CA+mWcfBgOpaNe84mOtBx4h8ourDnz64gcbt+mFlo5pV5lbcixoN23Ns10q9lmfrxnU0a9lWXff5+FWjqHtx9u7S3Z/YunEdteo0wNVN1Z8oXqIUVarVZPsWVX/CxtaOqtVraaRZu3IZjZu3xs7eQev9BKEgvNfMA0Bj5oGZmRmVKlXi6tWruLm5UbFiRUxMTKhbty7Pnz+nf//+zJs3jz59+mBgoDmapFAoCA8PJzY2ls6dOxMQEICVlRU3btxg+fLlnDx5EktLS/WXTIAvv/wSuVzOwIEDGT16NCVLlkQulzNy5EisrKxYu3atRsO8e/duqlWrxqNHj5g5cybJyck0a9aMbdu2Ua+eZuUaFBSkfpqva+bBmzIzM1mxYgUJCQlMmDCBY8eO8eDBA2QyGTY2NlStWhVQxRFISUnBzc2N4OBgvL29KVmyJAsWLKBChQpUr16dLVu26OxMLF++HCcnJzp10hzlzsjI4OjRo5w4cYJSpUqpj9+/fx8/P79cr1ulSpUIDAwkODhYPfgAULhwYebPn681k0EfoqOjiYqKwtfHR+O4j48Ply5deu/3bd26tfr/aWlpHD1yhLbt2mFsYvLe7ymoBgJKl/XB2CTn/vTyro5CoeBe+BV8qjfUmca5SHEcnAqrj7m4FsfeqTC3bwThVtyTU4e3UNa7OoEHN3Lv1hWSE2Mp4VGRLl/9jLnFv8ckeR8x0VFER72gsm8VjeOVfapw+dIFrfNlMhm3b92keUvNAcPKvlVYs2LZq/eMxqVwEY3XrayssLa24fHDB5T2+Hid6Ns3Q/AsV1njWpXzrqa6Vreu4lvDX2caF9diGteqsFtxHJxcCL9+maLFPSnrrf2l1NTMguRE/QR1fRkTRUz0C7x9qmoc9/apQkjQea3zZTIZd8Jv0LRFO43jlSpXZd2qJRrH9u7czNlTx8hIT8O5sCsduvSieInS+V8IHWKio4mOisLHV7OO9vHxJejSxY+Sh/z2ukyVXy33e62yjy+X37NMN65fx9WtKIUK5Ty5cytaFKdChbh+7SolSpb8oDz/m+iYGKKio/H10VxK4etTmYtBl9/rPR88fET47Tv06NqZMRN/IyUlBQMDQ74Z1J9yXh+vjnhX5sVcsSjlTuwJzc9b7PELOLdR1fmODaqTdvcxmc9yYjml3XtMxpNIHBvWJOXGxxk8vXcrmFJemm1UmYqqNupB+BUqVdNuo+7dvIxzEVWb9JqLawnsHQtz90YQbsXKUMLTm79m/0gFv/qUrVST+NgX3LsVTMD3H2dG2aPbQRT39NMoV6nyNVAo5Dy+E0L5Ko3f633PH1lHWb+GHNo8mxdPbpOWHEeZSvVp2uUHJBL99pfu3bxMSS9fjTJ5vrpWD8ND8K7WSEeaYAq9da2cXUtg9+pa2dg5kZ2VgaNLUY10Ti7FuHbpmN7KEhMTRXT0Cyr5aPYnKvlUITiXdup2+E2atWyrdf7alaoBuELOLhqvPbh/l1s3rjHg6483k0cQ/s17Dx7oEhsbS9Giqg9veno6VlZWFClShNOnT1OlShWCg4O1Bg9GjhzJlStXGD16NFOnTlUfr1mzJgC2trZER0fr/FKbmZmJj4+PerlARkYG5ubmxMbGagQarFy5Mjdv3qR3795s3LiRxMREWrdurTMuQPXq1Tl06BCgikUQGBjIsWOqymf+/PksXrxYfa6ZmRlDhgzh8ePHTJgwgcaNG9O4cWNatWrFy5cvsbS0BCA+Pp6XL1+yf/9+9Rd7JycnKlSowIgRI2jdujUXLlxg/PjxDB48GH9/f27fvo2xsTGlS5fG3Nycpk2bYmOTs3561qxZDB06lJSUFHbv3o2trS2A+m+wcuVK2rRpg4tLTkUkk8nUS0KUSiVJSUnqv2t8fLzeZxu8Fh+veoph76A5impnb58vO0yMGD6cR48e4VelCr169frg9/v/Lin+JTb2mtN0jYwkWFrZkhgXrTtNwkts7LQ/Xza2Duo0j+5eJ+7lC/xqNaV1l8FIpdksm/EjaxdP4OuRc/O/IEB8vCqQ6Nsj+HZ29sTFvtQ6Pzk5CZlMqvP81NQUMjMzcHZxIST4kjqOCKjWJyYnJ5GUlKiXcuQmMf4ldjqvlQ3xcTG5prG1056GbWPnSMKrNPWbtNd4TSaVcjP0IvWafJE/GX9LfJyqHtD+uzsQF6tdjpTkxFfXSfOes7W3J+3VdTIzM6dYydJMmDwPO3sHFAoFZwKPMGbEYH6bsURjaYO+xL26/95eFmZnlz91X0GIV5dJ81rZf0CZ4uLjdC6ds7OzJzZO/3+nuDhVG+Vgb6dx3N7OjthY7WDE7+LW7TsYGRlx5tx5fp+gipt05PgJfhk3kZV/LMbJSbu+LEimr5Y1ZEVp/r2zYmIxcyusPicrWrvezIqJU5/zMSQlaNdhr9uohDzaKGsd9Z61naO6jfIoV4XuA8ezYs5wXNxKkJ6aTJ8hU3BxLZHvZdAlOSEGazvNZT9GRhLMrWxJTtAOvv2unt6/RlTEbboPmUfrL0eTkZbMyukBKDfPpdWXv3xotvOUnKC7P2FhZUtivO5rlZwQg42ua2XrSFJ8NJbW9piYmvPyRQSly+YMzL54eo/UpPj8LcAbEuJ013129v9bf8L2jf6EmZnmrKXVfy6mQ5eeWt+dPndiV4NP23sPHowcOZLp06dz+/ZtunfvDsDDhw/V08aTkpKwsrJCIpGon8BXq5bz9OrSpUtcu3YNLy8vduzYgZ2dHZmZmeoggq8ZGRmpn1Q/ffqUs2fP0qpVK2xtbSlRogQtWrTgq6++Up+/Z88e5s7V/OKRkZHB5cuXKV68OE+fPiU5OVnnwEF+MTQ05JtvvqFPH9W0rFOnTtGqVSsqVKigcV6TJk1IT09HLpezZMkSdu3ahY+PD4GBgQQEBODk5ETXrl2xtLTUGDgA+OOPPwgJCcHZ2Rk7Ozvq1q3LzZs3kUgklC9fnlOnTjFq1CimT88ZIU9JScHBwUG9hGLw4MHqwZAOHTq80w4UWVlZWltXZmVlvdcUTCMdQSvzYwBjzty5SKVSNm/axA/DhrFw0aJcp/sK7ya3QEZ5Xa9/S5OWmkTR4p5UruYPgLGxCW26fs2MMb1VnUF73Wul88ObAU/fzte7ng+gVChp1LQF27dsZMvG9XTt0YvMjAzWr12BmZl5gUwzNMwtr0rdy5nySqPIJc229Yswkkho9sZSBn34X69TrmVXqNK8GcDS0NCQBo1acOtGKNs3rWXkuKk60+qD7nLlfn3+C/K7TLl/5j7e30lXHhTv2UalpKaQmZVFny97qN+3WeNGbNq6g6MnTtKja+cPyqu+KGXaa+bfDOSmlOmOsfHmOR/D+9R7ud5jr65xQmwUl0/vY+BPcylUpDiBBzawePJgug0YS/X6bXWmzW//Vqe9j4zUJMrV70DRUqqAnuaWNtRvPYAdK8bSosdInQHF85OhYS59gzw+24aGubRRCgUGBgb4t+7NkZ1/4lG+Kk4u7ty6eoYH4SE6B4jym65rlFc9kVd/4k13wm/y+PEDatXRDkIvCAUpX5YtvHb+/HlmzpwJQExMDNbW1igUCpRKpdaHZcmSJaSkpLBz505AVQG0aNGCmjVranzhfVNYWBj9+/fn0aNH6iftxsbGGue8HljIyMhg+vTpdO3alfr161OxYkWUSiV37tyhdevWXLt2jcqVK2v9jn9btvBvX24jIiIA1eCIyavp8uHh4RgYGGh9wQ4JCaF48eIsXbqUQYNU6+5CQ0M1Zh6sXbsWMzMz7ty5g4WFBVlZWXzzzTcYGBgQHh5Or169qFatGosXL8bd3Z0JEybQq1cv7O3t6d27t8bve/HiBUWLFmXFihWsXr2atLQ0ddkeP35Mq1at2Lt3r3rWhy7Tpk3j119/1Tg29PvvGTZsWJ5/lze9HrhJSEzUCI6Y+GqHhPf15pNfY2NjevXuzeHDhzkVGEjLVgUXIO2/5HnEPTatzPn8FXYrgZ2DM8mJmk/b5HIZaalJ2Du5vP0WANg5OPPgzjWt48lJ8dg7qtLY2DlRqLC7xusOhVRPqxLiovUyeODoqOpIJCYkaARyS0xMwFHHvWdra4dEYkxiQoLG8cTEBCytrDC3sMAcC2bMXcSGdasYNXwI9g4OdOnWi1Mnj1PGK/edAT7Us4h7bPhrlvrnwm7FsXdwJjlR80mL6lol45DLtbJ3KMT92zquVWKcxlKG1/ZvX8WVS4H8/OsfWFhaf2ApdHNwVF2LxMQEjeCIiYnxOoMl2ry6TklvlT0pIQFLS9V1At0DnSVLleHQ/tzjDeSnvO6/3ALFfuoccilTwgeUydHRkdu3bmodV/2d/j3Q34dyeqONejM4ourn93vw4GBnj5mpKY5vzbhzLuTESx1bKxe01wERTVyc1P8HMHV2IuPVMoXM5zHY1/LVSmvq7Kg+J789f3KXraty2igX1xLY2TuTklsb5ah7BoSdgzMP74RqHU9JjFO3UWsW/UKDFj3x8lb1iTr2+YnSZf1Yu+gX/Gq3QCIx1kr/vqKe3mXf35PVPzsVKYmNvQupSdrlykhNwjaXcr0LK1snHJ01d5excyyCNDuTjNRELG3yZ9A78sldtq+epv7ZuUgJbB2cSdFRpvTUJOx0tDcAtg7OPLobqnU8JSlOfX1bdvkOC0sb1i8eg5FEQtlKdahUrRGx0c+00uWX13VfUkKCRnDEt+vC12xtbVX9iUTN/kRSomY79dqxw/upUq2W1vccQSho+bJsISoqir1795KcnEzjxo1JSkoiJSUFe3t7MjMzad68udbgwe3bt5HL5VrLES5dukR4eLh6J4U3v6yHh4fj5+enMRX/7eCAEomE33//ncaNVWvBTExMmD59Om3atMHDwwN7e3u++OILli9fztKlSzXSpqWl0bBhQ7ZvVwV5envZwoIFC9iVR0C/s2fPcubMGUA12+DOnTsAJCYm6jx/zpw5/Pnnn3z11VcsWLCA+vXra808mD17tvr8p0+f8s8//zBs2DAqVKjAkCFDsLe3Z+nSpUyaNAkrKyv69+9PSEgIBgYGlHxrXeitW7cYPHgwHTt2ZPDgwfzwww9Mnz6djIwMfH19+f777/McOAAYPXq0ejeL1549z3urp7c5OztTpEgRwq5fx9MzZ9ur0NBQfPOI15CX7du2ER4ezrjx49XHlEolMpmM7DeWsAh5cyvuyYjfNAMMXTq9ny2rZiKXSTF61Vm6ExaEkZEEz3JVdL0NXhWrs3/rnyQnxWNjq+qIREdGkBAbRbnKqmBA7iW8iH4RoZEu5sVTAJzeWruYXwo5u1C4iCs3wkLx8MxZZ3wtNAQf36pa5xsZGVG+ojc3wkKpXbd+zvlXQ6j8xjpHt6LFGDlmkvrno4cP4F3Zh6Lu+tv+r2hxT0ZN/lPj2IXAA/yzcjYymVTdsQ0Pu4yRkYQy5XV/tsp6V2PPlhUkJ8Zj82oLw6jnEcTHRlPBJ6c+UCqVbFk7nycP7zB+5lqsbew5uHMdLTv0yfeyFXJ2waWIG7euX9VYThAWGkJlX+34C0ZGEspVqMTNsKvUrOOvPn79WjCV3jh/yICuDB0xnkpvxFKIiXmBs7NmzAp9UdV9rlwPu65x/4WGXsXXV/dn6VP3ukxhYdfe+kxdxVfHZ+pdVKrsy6Z/1pOYmKAORPb82TNiX77E10//fydn50K4FinMtes3KOORE1Duaug1qvr6vNd7li5VksysLOITEnB4Y0nGi6goqvppfwEvaJlPX5B2PwLH+tVJvpIzkOPUuBaxR88BEBd4Ec9x32JSyEEdVNHSswTmxVyJPXpWL/lyK1aGHyZpBnwMOr2PbWtmaLRRd28EYSSR4FFe9/1SpmJ1Dm5bTkpSHNa2qgGh6MjHJMRFUbayageZyIh7Wm1R6XJ+SLOzkUmz83XwoLB7GQaMWadxLPTcHvatn6pRroe3LmEkkVDC6/0+WwBFipclLuapxrG4mCeYmlvl28ABgGuxMgyduFrj2OUze9nx1rW69+palS6nu0yeFWtweLvmtYqJfEziG9fK0NCQhm360rBNX0C1q8P0nzvy5TeTdb5nfnizP1HaM6eduh4ago+f7naqfAVvblwP1ZhNcD00hMpv1ZVyuZzzZwMZ9N2Pesv/p0wsW/i0/U9zk7Kzs5k0aRIxMTH88MMPNGjQACcnJwYMGMDkyZP5888/MTQ05NatW4AqCJ+FhQVnzpzR2hWgRYsWNGjQQOv4yZMn1QMHoIprULx4cbKysli9ejUdO3YkMDCQFy9e0Lp1a2rUqKGRx4cPH2JgYKDeChGgS5cuLF++nPnz5zNs2DAaNGjA6tWruXhRM5jTN998w6ZNm3It/6BBgzh58qTW8ddr+H/++WdGjFBtXffLL7+oyzR//nytNIcOHaJhw4aUKlWKZs2a4eys+2lKYmIiU6dORalU4u7uzqhRo3j58iUDBw6kefPmrFu3jrlz57Jq1Sp27dqFubk5gYGBFCtWTGOqfkJCAnfu3KHVG0/gBw4cSLt27WjZsiW//PIL49/44p0bU1NTbGxsNP69z5KFnl9+yd69e0lKUkXXDQkJITIyko4dOwIwfdo0dr2alfImpVJJZmYm2W/toODt7U1wcDChoaHqY1s2b8bAwID69esjvL8qtZphbefI8f3/AKptsQ7tXEWzdn2xtFbNALpz4zKzx31FarJqRN2jnC+e5atwYJvqy61SqWT/1uXUqN8aV3dVcLom7Xpz79YVboaqAgtlZ2Wwd/NSajZoo45urQ/devbhwN5dJL+6966GXCYqMpL2HbsAMHv67+x5I1Jyl+69OBN4gheRqkGyRw8fcDXkMt16an9pzsrK4tD+PezesYWhP47UWxlyU61OU2zsHDi2byOgulYHtq+mRfveWL26VrdvBDNtTH9SXl2rMuV98argx96tKwDVtdqz5S9qNWiFm7sqGGtmRjpLZ6r21B4xaSnWNvbI5TL1e+hDlx4BHNy/g+RXcSNCQy4R9eIZbTuolsnNmzGR/btzdl7o1K0vZ08d40Wk6knT44f3CQ25ROfuAepzylX0YeO6P8nOVi29evTgLiePHqBjN81ZWvrUo2cv9u/d/UbdF8yLyOd06Kiatj5j+hR279KeCfG67str95iMzIwC2V2me89e7Nu7R12mKyGXeREZSftXZZr5L2V6uz6vUKEiFb0rsXnjBvV5mzaux79hY4oVK67n0qj06tGNPfsPkJSk2hr4cshVIl9E0blDewCmzJjNjt3aOy+oypSlNWjt6VGaalX8+GvVWuSvttPce+AgqWlpNG2kHdBPn4wsVX0DQ7OcttvA2JjqB1dRpHNL9bF7k5dQ4tteGDuqBjucmtbFonRx9W4NCedCiD99Gc+x36rTeI77jmcbdpMa/nF2JADwq90cG1tHTh5Q3S9SaTZHdq2kSVvVtooAd29eZt6Evuo2qnRZPzzKV+Hg9pw26tC25VSr14YiRUur33ffpkVkpKeq3jc7i51/z8GnRhPMzC31Xq6KNVpgZevE+SOqHWNk0mxO7fuTui37YWFlB6h2Tvhzci/SUrTr4qzMdGTSLK3jDdoM5NqFvURGhAOQlpLA6X1/Ubt5/g8Ev823VgusbR05dVB1rWTSbI7uWkGjN67VvZuXWTBR81qVLl+Vw9tV224rlUoObV9G1XptKFxUO9jti6f3WT79W6o3+IKSXj56LU/XngEc3LdT3U5dDQnixYvntOvQFYA5M35l766t6vM7d+/NmVPH1e3Uo4f3uRoSRJcemn/758+ekJGRTomSHyeYryD8L/6nmQcmJibcvn2bb7/9ll69elG2bFkAhgwZwvfff09oaChDhw7l+fPneHl5UaSI5tOc7Oxs1qxZw9mzZzl48CBNmzb9199ZrVo1tm/fTosWLejduzfDhw8nOjqaOXPmcPjwYSwsLJg8OWe/5BUrVjB27FhWr17NkydPMDQ0pFWrVty4cYMLFy4wZMgQJBIJ7dq1o1OnTvz99980aqSK7urq6qrxu99eomBurnv7pR07diCRSFixYoV620pQffFftWoV165d05h5ERMTw8OHD/n2W1WD+8MPP2Bqasq2bdu0li3s27ePO3fuIJVKmThxIo8fP8bd3Z2VK1dy8OBBGjdujIeHB4sWLVLHeti/fz9ffKEZyGzVqlXMmDFDHVPi0aNHzJ49G0dHR8zNzZk6dSrBwcFUqVIFT09PKlasSOHC+gt41LhxYzIzMhg7Zgzm5uZIJBKmTpumDpL15MkT7N4KmLVjxw6OHztGcnIyCxcsoGLFiowcpdrruIyXF9OmT2f933+zedMmMjIycClcmLnz5ukMvCW8O4mxMd+PW8rGP6dw9eIx5HI5larWp3WXwepzUpLjefHsIZmZ6VjZqP7eg36azeaV05k6sicGBlCqTGU69v5BncaxkCtDxy5m14aF7Nm0BJRKylSoSttu376dhXzVsHEzMjMzmDD2J8zNLZBIJPw6dbY6PsHTJxHqp50A3pV8+Pb74cya9itmZuYoFAp+Gf8bxUvkzOzZ/M/fXA0JQokSH9+qzJq3VGsK4scgMTZmxMTFrFs2jeALx5HL5fhUq0+7rgPV5yQnxRP59BFZmRlYv7pW346cyYa/ZvLrT70wMDCgtJc3XfuoliJJpdlMGRVASnICqSlJzLoRAqgCLTZo1kFvZWnQqAWZmRn8Nu5H9XWaMGW++jo9e/oYW7ucp2QVKvny9dCRzJsxATMzCxQKOT+PnUKxEjm70Xw3bDRb/lnFhFFDMDQ0QiKR8NPoyZQt//G2Cm3UuAmZmRmMGztKXa4pU2eq66mnT55o3H8AO3ds4/jxYyQnJ7Fo4TwqVPTm55Gj1a+npCQz5fdfefT4ERnp6YwYPoxevfp8lKf0qjI1JTMzk/FjR6rLNFmjTBEaOyYB7NqxjePHj5KcnMTiV2X66Y0yjR4zgeXLlvDj99+CgQFly5Xnq34D+ViaNmpIZmYmI8dNwOJVGzVzyq/YvwqiGPH0qVaZtu3czdHjJ0lKTmbeoiV4V6jA6J9zZur98tOPLPtrFV9//yMWFhZYmJszZ9oUbG01YxrpU9lpP+PSVjUzs9quZUTvPU74yBkYmhhjXc4Ds6I5Mzufb9iNkZUFNQ6vRp6ShiJbyqXmAWTH5Ew7D+n2PRUXjKfOxe2gVJJw8Sq3f5ml9Xv1SSIx5ruxy9i0YjKhl44il8vxrtKAlp2/Vp+TmqRqo7LeaKMGDJ/L1lXTmPFLd9VsTc/KtO+V86S3S7/RHN21ioW/DcDU1BypNAsv75q06Phx7kOJxISAn/9iz5pfuXn5MHK5nLK+DWnUPqeNTEuOI+b5fbIz07G0VpUrPTWRDQuGEvX0LlkZqSz7tTtNOg3Fo2IdAIp5+tJp4DR2rhyHkZExcrkMn9pfUK91v49QJmO+GbOcLSt/J/TiURQKGRX8/Gnx5rVKjiPq2QONa9XvxzlsWz2N2aO7AQaULFOZdl/mfLYS46NZu2Ak0uws7J2K0KzDIDwrVtd7efwbNSMzI4NJY0dgbmGBRGLMr1Pn5rRTTyKwe6OdqljJl2+H/sTs6b9ibmaOXKFg1LjfKf5GOwWqXRaMjIzUWzoKn48nT54wZMgQYmJiyMrKolmzZkyZMgWJJPev5GFhYUyePJmEhASePXtGgwYNmDFjhlY8vI/FQPkBEeoUCgULFiygVq1a6unuCxYsYPfu3SxbtowyZXRvPzRhwgT27NnD0qVLqV27ts5zpFIpO3bsIDw8HIVCweDBg3Fzc9M458qVKwwYMIAFCxaot1x88eIFRYoUYc+ePYwdO5Zdu3Zx+PBh4uLiGD16tPriPHjwgC5dutC7d28GDBig3oXgTZMnTyYxMVFj6YAut27d4q+//mLevHkA9OvXjyFDhuDn50dmZiZ16tTB39+fOXPmAJCcnKzzgq9du5YLFy6wbNmyXH9Xamoqu3bt4tmzZ3h4eNCsWTP1e8XFxeHt7U2VKlVYuXKlejZDZGQkW7ZsoUePHhw6dIjnz59jaGhIly5dKF1aNap56dIlli5dypEjR5g7dy4tW7bU6hjl5sHDh+903n9J6VKl/v2k/5iTYRkFnYV8V9hCf5GUC0p8lm1BZyHfWRunF3QW8p254ef3eQJQ8vlF9TZTpBV0FvJdWPn2BZ2FfGcSfL2gs5DvkjI/v/XqVqbaQTT/69ytPr24I/mhgsfHWZKX39af+XTXLfSq9/5tZFZWFpUrV6ZPnz6MGTOG7OxsWrRoga+vr/o74ttevHjB0KFDWblyJba2tiQnJ9O6dWvc3NzynC2vTx80eACq2QSvAwN+iqKjozE0NPygQHz/da+3b0xOTsbKyirfI+mKwYP/BjF48N8gBg/+G8TgwX+HGDz4bxCDB/8NYvDgv0MMHuS/Dxk8WLt2LUOGDOHly5fqmeBHjhyhTZs2REVF4eCgHXNk+fLllCtXTmMJ9sGDB2nXrh2pqanvtXT8Q33wt8hPeeAAwMXF5f/1wAHkLLewsbHR+xY8giAIgiAIgiAIQo7AwEDq1KmjHjgAaNSoEXK5XB1w/21FihTRiAUIYGVlhUwmIzk5Wa/5zU2+7LYgCIIgCIIgCIIgCB9Cqfx0Z8BlZWWRlaUZiNTU1PSdZgBERkZqxQOUSCQ4ODjw7JnubUXbtWundWzv3r2UKFGiwB6Oi8fQgiAIgiAIgiAIgpCHadOmYWtrq/Fv2rRp75w+t8CICoXindJfvnyZxYsXq+PsFQQx80AQBEEQBEEQBEEQ8jB69GiGDx+ucUzXrIOwsDCGDh2q/tnLyws3Nzeio6M1zpPJZMTHx+Pu/u87a1y/fp127dqxaNEi2rdv/34FyAdi8EAQBEEQBEEQBEEocB8Wyl+/3nWJgre3N4GBgRrH1q9fz7Bhw5BKpRgbq4KpnjhxAmNjY42AiLqcOnWKAQMGsG7dOpo2bcqmTZuoU6fOOw065DexbEEQBEEQBEEQBEEQ9KRr1664uLiwYMECQBU/Ydq0afz888/qnRYCAwOpV68esbGx6nQrV67k999/5+TJkzRt2hSAkJAQXF1dP34hEIMHgiAIgiAIgiAIgqA3JiYmHD58mMDAQGrWrEmdOnXw9/fnt99+U58TExPDrVu3SE1NBWDKlCkMGjSIrKwsevXqhb+/P7Vr1+bo0aMYGRkVSDkMlMpPeXKI8F/w4OHDgs5CvitdqlRBZyHfnQz7/PalL2wRX9BZyHfxWbYFnYV8Z22cXtBZyHfmhp/f5wlAyacb5fp9mSnSCjoL+S6sfPuCzkK+Mwm+XtBZyHdJmcYFnYV8Z2UqK+gs5Dt3q7iCzoJeVPAo8u8nfYLWBBZ0DnIX4F/QOSh4YuaBIAiCIAiCIAiCIAh5EoMHgiAIgiAIgiAIgiDkSey2IAiCIAiCIAiCIBQ4saD+0yZmHgiCIAiCIAiCIAiCkCcxeCAIgiAIgiAIgiAIQp7EsgVBEARBEARBEAShwIllC582MfNAEARBEARBEARBEIQ8icEDQRAEQRAEQRAEQRDyJJYtCIIgCIIgCIIgCAVOIZYtfNLEzANBEARBEARBEARBEPIkBg8EQRAEQRAEQRAEQciTWLYgCIIgCIIgCIIgFDix28KnTcw8EARBEARBEARBEAQhT2LwQBAEQRAEQRAEQRCEPIllC8IHOxBesqCzkO+GliroHOS/YpYvCjoL+W7mFruCzkK+G9hBWtBZyHdXnjsXdBbynZdLckFnQS+SsswKOgv57s5T44LOQr4rH3y9oLOQ77KrViroLOS7Npu+Lugs5Luwil8VdBby3bTVn+c8+fVTCjoH70ehKOgcCHkRMw8EQRAEQRAEQRAEQciTGDwQBEEQBEEQBEEQBCFPYtmCIAiCIAiCIAiCUODEbgufNjHzQBAEQRAEQRAEQRCEPInBA0EQBEEQBEEQBEEQ8iSWLQiCIAiCIAiCIAgFTixb+LSJmQeCIAiCIAiCIAiCIORJDB4IgiAIgiAIgiAIgpAnsWxBEARBEARBEARBKHAKsWzhkyZmHgiCIAiCIAiCIAiCkCcxeCAIgiAIgiAIgiAIQp7EsgVBEARBEARBEAShwCk/6e0WDAo6AwVOzDwQBEEQBEEQBEEQBCFPYvBAEARBEARBEARBEIQ8iWULgiAIgiAIgiAIQoH7pFctCGLmgSAIgiAIgiAIgiAIeRODB4IgCIIgCIIgCIIg5EksWxAEQRAEQRAEQRAKnEJR0DkQ8iJmHvw/9mlvhSIIgiAIgiAIgiB8Kj7rwYNFixZx8eJFjWOHDh0iLCws1zQrV67k999/JyMjg379+nH06NH/6Xc+efKErKws9c9HjhwhJCQkzzSbN2+mU6dOpKen8+OPPzJ8+PB3+l3BwcH06dOH06dP/095fG3ZsmVUq1aNLVu2cO/evfd6D0EQBEEQBEEQBOHz99kuW7h//z4jR45ky5YtREZGMmHCBJYtW8Y333zDV199hbe3N+PHj8fW1paffvoJALlczuTJk+nVqxcmJia0bt2aL7/8kpiYGBITExk7diyzZs3CwsJC43dt3ryZxMREBg0ahEQioVWrVmzfvh07OzsWLFjA/fv3uXz5MjY2Nuo0z549Izg4GIBLly4RFhbGkSNHuHr1KoULF2bXrl38888/DB8+nJo1a+osY9WqVXFycqJhw4ZER0fj5OQEQFpaGsbGxpiYmOT5N7K1tSU6Oprq1atTs2ZNxo8fz3fffffef/P3kZIQyakdv5OREo9cnk2xMnWo2eoHDI1yvzVjI+8QfGwZWelJpCZF41a6GrXb/ISJmZX6nPvXDnP9zN9gYEBWejJeVdri12jAxyjSZ2f/vn0cOnQIMzMzFEolgwcNooyXV67nv3jxgstBQezZs4fvhw2jUqVKGq+npaWxYsUKYl++JCEhgUKFCjFo0CCKuLrquyga7G0M6dHUAmsLQyQSCH8kZdepDBR5TMip5W1C46pmpGdpnrR0eyqZr465FjKiexMLjAzBxMSAyzezORKUqc+iAHDswHZOHtmNqZk5CoWC3gN/pLRn+VzPDzp/gr3b/sbE1IzsrEw6fzmIylVqqV9/GfOC7f/8RXJSArExURQr4UGvAT9gZ++o97K8LSk+kiMbfyM9JR65LJuS5erQoP2PedYTMc/vcH7/H2SkJ5OSGEUxz2o07PgzpuY59UTo2a3cDT1GZnoS0qx0ajQbQMUa7T5GkYh7GcXff84kOSkBmTSbij416dTrG4zyKFNqShL/rJzLi2ePUCiUFC/tRc9+wzEzz2mTEuNjuRZyjhMHt9KkdTfqNW77MYoDQHzsC7avmkpKUjwyWTZlK9Widffv8yxTWmoSO9fMIOr5Q5RKBe4ly9Oh70hMzVRlkstlnNizhmtBRzEykiCTSWnaYSA+NZp+lDKlJERyZufvZKSq7j33MnWo0TLvNiruxas2KiOJtMRoXEtXo1brnDZKIZdxNXAlD8OOYGgkQSGT4td4MKUrNf8oZYqPfcGWlVNJTY5HJpVStlIt2vYY+q/XafuaGUQ9f4RSocC9ZDk6BeRcJ4CrF49y6uA/YGBARloyVeu2oukX/fReHqsKnri08qfEkD6cr9+djIjneZ5fbHAPivXvgjwtAwwNuTViKknBOQ+VjO1tKT93DFZlS2NgaEDS1VvcGjENeVq6vouituXiTbYHh2NuLEGpVPJzmzpULOr8r+mypDK6L9lOQL3KfFGlrPr484Rk5h28SFJ6FimZWRR1sGFkmzo421jqsxhactopM5QKJb3eqZ1ah6mpGVlZmXT+crBGOwVw81owIUGnuBEaxMwlm/VdBJ0cbY3o29YWG0tDJBIDwu5nsvVoSp7T7+v5mtOijhXpGZonzV0fT8ar/sSgTnYUsjPSeP1lgpw/dyTmdxE+KWJi9Kftsx08mDVrFsWKFePbb7+ldOnSAIwaNYr09HQWLVrE8ePHMTAwwMjIiJ49e+Lq6srGjRt5/Pgxp06donHjxmRkZGBsbIy/vz/R0dHcvn2b6Ohotm3bpvG7unbtSp06dQgPD2f+/Pk4ODgwevRopk6dyuXLlzl//rzGwAGAo6MjhQoVws3Njfv37+Pk5ISPjw/29vYULlwYHx8fRowYoTGLQS6XY2SkWYlMmjQJqVSKo2NOh/67774jMjKSPXv2YGZmluvfyM7ODqVSSYkSJZg3bx737t1jyJAhLFy4EEND/U9Kkcuy2b28P2WrfkHVJl8jl2Wz58+BnN83m7pf/KIzTVpyDJePLKFRtymYmluTnZnK3r8Gc3LLBJr3mQtA1ONQgg4vpsN36zC3tCczLZEdi3thamFLhZpd9F6uz8nRo0fZvHkzCxctws7OjishIYwbN46lS5fiVKiQzjRRUVFIpVKSk5N1vr582TJat2mDl5cXSqWSxYsW8euvv7Js+XJ9FkWDxAh+6GbNxRtZHLyQiZEhfN/Nmo4Nzdl2IiPPtFuOp3P3iUzna1bmBgzvYc3mY+lcvpWNmakBo3pZI5UrORmSpTNNfjh1fB+7t61l8tw12No5cP3qJaZPGMb0RRtwdNLucN68Fsxfi6by2+xVFHErxpPH9/ntl8GMnbyEkh5lycrKZN2fc+n3zUjsHQshlWazdM4k5k/7hYkz/sTAwEBvZXmbTJrNpvn98K7ZntqtVPXE5oUDOLljNo276K4nUpNiOLtvCa36TMHM3JqsjFS2LB7EwfXjaT9wHgBXT29GJs2k6xDVfffswVX+mdsHc0s7Slesr9cySaXZzJo0hDr+rWnb5StkUilzfvueLWsX0aPfj7mmWzxjFIVdizFx9jqUSiV/zp/IXwsmMfSXmepz4mOjSU9LJj0tVa9leJtMms0fUwZRrX47mnUYiEwmZdnUr9mzYR4d+vyca7pVc37EuUhxfpq2CaVSyfolY1i/ZCz9R6iu04EtS7gRfJKhE1dhZePA84g7LJr0Fbb2hShZxkevZZLLstn7Z3+8qn5Blcaqe2/fXwO5sH82ddrl3UY17JrTRu1fOZjAbRNo1kvVRgUdXsijmydo/806zK0ciI28w66lvbC0caZwCV+9lkkqzWbJ5MFUr9+W5h1V12nplK/ZvWE+Hfv8lGu6FXOG41ykOCOnbUSpVLJu8VjWLR7LwJ9U1+nR3Wsc2PoHwyatwsrajrTUJOZNCMDSypbajTvptUxWZUqilMkxc/33L9dF+3TAY9RgztboSPbLeJya1KHGgZWc9m1L5vNoAKpsWUTqvUecq9UZgMprZlJ51XSudPter+V4bXfIbVacusLG7zrjaGXO+XtP+XrVPrYP64qLrVWeaecfusjDmASt40PWHmR4y5rU8yqOUqlk0ZEgft54lLWD2+upFNpOH9/Hnm1r+H3uWmztHAi7epEZE75n2qINODq5aJ1/81owKxZN4dfZqyniVoynj+/z2y+DGDN5CSU9yqnPe/r4HnKpjOws/bWxeZEYwaivHDh7NYM9p1IxMoKRfR3p3tyGfw7q7ge9tn5/EuGPsvM8Z8rKuPzMriB8sM9y2cLx48d59OgRoaGhtG7dmpo1a7Jz507u3LnD+fPnGTlyJO7u7gQGBnL8+HFcXV3JyMhg0qRJFC9enNOnTxMYGEjJkiUZOHAggYGB/Pnnn4waNUpr4CApKYm1a9cybNgw4uJUH/CaNWvi6urKqlWrWLhwIR4eHoSGhiKVStXpTE1Nadu2LQEBAfz111/cvXuXgIAAzp8/z65duwgICODFixeYm5ur0/z99980aNAAf39//P39qVatGq6urgQFBdGwYUP18QcPHpCens6hQ4cAWLx4sfq1N/+NGTOGmJgY/P39Wb58OWvXrmXJkiVMnz79I1wluHt1P2lJ0fg0+AoAI4kJVRoP5PrZDWSmJepM8+jGCSrV642puTUAJmZWVG0ymAfXjyCXqSrgyEchuJepjbmlPQBmlnYUK1uX+Kj7+i/UZ2bjP//QslUr7OzsAPCrUgV3d3d27tqVaxpfX186de6sNUPnNa+yZfF6NXPBwMCA6jVq8PTpU6TZeTeg+alqORPsrAw5+mpGgFwBhy5k0LCKGRZm7//F2N/PlPRMJZdvqcqSmaXkRHAWrWqbo8/v2zs3raJR8/bY2jkAUMm3Bm7uJTi4e6Pu87esonrthhRxKwZAsRIe+FStw+6tawC4czOU6rUbYu+oGiAyNjah85cDuXc7jJiovJ/q5bdbwftJTYymetOceqJmi0EEn1xPRi71xL1rJ6jasDdmr+oJU3MrarcczJ0rR5BJVdfmyb0gqjXuq05TtLQvZSo35mbQXv0WCLh05giJcS9p/kVPACTGxrTu2JdjB7aQmpKkM83tGyHcuXmFtl1UT3INDAz4omt/Qi6e5OnjnLqtVJkKtGzfGwcdnXF9unL+IEnxMTRs3QcAicSYJl/058yhf0hL1V2m+7cu8yA8mGYdBwOqMjXvOJjrQceIfHIXpVLJ6YMbaNyuH1Y2qnvbrbgXNRq259iulXov072r+0lLjqZy/Zx7z7fRQMLObSAzPVFnmsc3T1CprmYb5ddoMA9ftVFKpZLrZ9fj23AA5laqMjm5elGuekeunPhT72UKOXeQxPgYGrXJuU5N2/fn1MHcr9O9W8HcvxVMi46DANV1atFpENeCjvP8yV0AHty+SlnvmlhZ2wFgaWVLeZ86vHj6QO9litp5hIfzVr3TuZ5jv+PJX5vJfhkPQOyxc6TefkDJYQEAONSrhkP9atyf+oc6zf0pSynSsTnWFcvke951WX4ihM7VyuNoper/1fZ0p5SzPX+fu55nuvP3npKSqd2OJqRlEJuSTj2v4oDq+rWs7MGD6Pj8z3wedm5aSaPmHdTtlLdvTdzcS3Bo9yad5+/aspJqtRup2yn3V+3Unlft1GstvuhBjXpN9Jr3vNSqZI69jREHz6kGbOVy2Hs6lWY1LbE0/3gD7YLwsXx2gwfJycmcOnWKffv2YW5uzldffYW9vT1OTk589dVXlC5dmp49e1K1alUGDhzI06dPAZg4cSL9+/cnKipK/eX6xIkTrFmzBn9/f8aPH8+lS5e4cuWKxu9bunQphw4dIiEhgTp16rBs2TLMzc0pVKgQz549IzExkWXLltG4cWOaNm2qDlJ45coVihYtSmBgIG3atGHIkCEEBgbStGlTAgICCAwMZPny5URHR/P8uaqzHhAQwKlTpwgMDCQwMJAFCxaQlpbGrFmzCAwM5OTJk6xYsYIzZ85w9uxZ2rdvD8CgQYPUad78t2HDBoyNjdU/P3jwAKVSyZgxYz7KtXp+P4giJfyQGJuqjxX1qIlSISfyke44EZY2zji4lNY4ZmxqgUIhIztTVXEXLl6ZOyG7eXr3PKCadvr8wWUq1u6up5J8nqKjo4mKisLXx0fjuI+PD9dCQ9/7fVu3bq3+f1paGkePHKFtu3YY/8sym/zkVcyYB8+lyOQ5x+5EyDA0AE/3vCdkdWpowbBu1ozqbUPvlhY42ORUo2WKGXM7QqpxfvhjKTaWhrgVMnr7rfLFy5gXvIyOpGLl6hrHK1auxq3r2p8jmUzGvfAw3eeHqeo3M3MLSpfRnEpq9mp6cmpq3k9S8tuTO0G4ldasJ0p4qeqJp/eCdaaxsi2EUxHNesLE1FKjnijhpb0czNjMgsw03V+g8tPtGyF4lKuEiUlOmcpVqopCoeDurdBc0lzBxbUYjoUKq48VdiuOg5ML4WGX9Z3lf3Xv5mVKevli/EaZPCtWR6FQ8DBcd31+72YwhYoUx94pp0zOriWwcyzM3RtBpKUkkJ2VgaNLUY10Ti7FeB5xRz8FeUPkgyAK59JGvXiou0wWNs7Y59FGZaYlIMtOx9bRXeMcW8fixEbqv0z3bgVTystH4zqVeXWdHoRf0Z3m5mWc37pOLq4lsH91nQBKeHoTdGYft6+r4kzFx77g3q1g6jbrqsfS/G/Mi7liUcqd2BPnNY7HHr+AY0NVfeDYoDppdx+T+SxK/XravcdkPIlUn6NPkQkpPE9IoaaH5j1fo3RRgh7kPnCblJ7J8hMh/NK2rtZrtuZm2FmYMe/gBbKkMhQKJX+fu87Xjavme/5zE6tup6ppHK9QuRq3rmvX4zntlOb5b7ZTn4pyJU25F5GN9I0JibceZmFoCF4lTHNPCPRoYcOoAAcmDnZiQAdbHO20+wkjAxwY09+RcQMc6dTYGlPjz39AQqH8dP8Jn+GyBRsbGxo1akSLFi1QvFps9ODBA6ysrFi0aBGLFi0iJiaG8PBwGjRowKJFi6hduzbt2rUjMzOTwoULExgYCED37t0pW7YskyZNIiIigkmTJlG2bM4asqCgIMaNG8e+ffvw9/fXmsqblZVFREQEV69eZdSoUXTr1k19TmxsLEWLFqVOnTpcuHCB2rVrExgYSHh4OGfPnmXHjh0YGhoSHh5Oz549Wb16tVZZk5JUndzx48djYGBAcnIyN27cYPXq1Xz55Zfq84yNjTXSKRQKfv75Z3788UfS0tLIysrC1DTvCk4f0pJjsLTRnPpuaCTB1MKW1MQonWlKVmykdezRzZNYO7ipn+K4lqqKf+dfObjme+ydS5GZnkTTnjOwdy6Z/4X4jMXHq55K2Ds4aBy3s7cnNjb2g99/xPDhPHr0CL8qVejVq9cHv9//wtbKkKQ0zXWGCiWkZSqxt859TPXmQylX70rJzFJiaABNq5sxrp8Nv69KJiFZga2VIXefai5pSE5X/R47a0Oexch1ve0HSYxXXQs7e83rZGPnQHxcjNb5KcmJyGRSbN8639bOgbTUZDIzMyhTrpJWuiuXz2BqZo6b+8f9HKUmxWBlq11PmFnakpIQrTONZ+XGWsfuXT+BraMbFtaqcleuq7mESS7L5tGtc1Su0zmfcp67xPhYbN+KHWFkJMHKyob4ON1lSox/ia2ddrwJ21yu88eWnPASG3snjWNGRhIsrGxJjNddpuSEGGzsnLSOW9s6khQfjaW1PSam5rx8EUHpsn7q1188vUdqkv6fmqYlx2CRWxuVlEsbVUG7jXp86yTW9qo2SqlUIjGxIPHlY4qUrKI+Jy7qLhmp+p+enJTwEls77etkaWVLQi73XlLCS6x1XSc7RxJfpfEoV4XuA8ezYs5wXNxKkJ6aTJ8hU3BxLZHvZXhfpq+WNWRFabZfWTGxmLkVVp+TFf1SK21WTJz6HH16mZIGgKO1ucZxRytzYpLSck03ZfcZhjWvgZWZ9iC8oaEBy/u14ZfNx2g1+x9cbC2pVsqNL2t752/m85Dwqp16u97Lrf7Kaac0z7d5o50yMzPXSlcQ7GwMSUx5qz+hgNQMhcbDhbeF3c8i+FYmGVlKDA2hVR0rpg4pxJhFL4lLUvUVdp1MIS5RjlwBFmYG9G9vx+j+jvz2Z6zYzlAoMJ/d4AFArVq1GDFiBKampiQkJNCzZ09mzZpFxYoVAcjOziY7OxtLS0tSU1Np06YNEomEo0ePqmceANy6dYuLFy+qBxPOnj2Lqakpy5YtA8Db25uQkBAqVqxISEiIVjyCPn36EB8fz4wZMxg5cqTGay1atMDZ2Zl58+bxzTffqL889e7dG29vb1q2bEmbNm0wMzNj1qxZOssZERFB6dKlOXXqFADnzp2jbt26VK2qOZocFxdH69atMTc35+rVq7i7u2NlZYWHhweOjo48fvxYPY3832RlZWnEYQCQSk0wNn6/wQdDQ923oFL5brVi9JMwws5uoFmv2epjKQkvuBOyh5YBi7ArVJxrp9exe3k/GnSaSNmqX7xXPv8/M9IR/yI/tvmcM3cuUqmUzZs28cOwYSxctCjXpQ76oMhlCDmv5QXJaTlpFEo4fCmTciWNaVLNjK3H0/N8X0M9PyzQFcAtr8/R2/WVOo2OHsnL6Ei2bfiLrr2/LpAOm6FhLnl9x3oi8vF1Qk5u4IsBc3I9J3DnXIyMJFRrEvA+Wfyf5RacTpnHo43/5ZoVhFzr8zzyl9u1VSgUGBgY4N+6N0d2/olH+ao4ubhz6+oZHoSH6Pwyqw/50UbdOLeBJl+q2igDAwMq1+9LyPFluJaujq2jOxHhp4l8GIyF9UcqU2730fvUF6/agoTYKC6f3sfAn+ZSqEhxAg9sYPHkwXQbMJbq9T9e0M53oZRpx6wxeKOCVsp0D/Ia6LsSf4NER7uryKXd3XvlDsUcbfErUUTn60qlkm1Bt6hRuih961XmxK1HLDsezKOYBOZ+2RyJ0cebhKzr3suvdqog5d6fyP2eeXPAQaGAfWdSqehhSos6lmw4oJrhFxOfcy+mZyr5c3siC0e54ONlxpVw/QdiFgRdPrvBA4VCQdu2bcl+tX46NjYWhULBrl272PXWOu07d+4QGxvLmTNnqFmzpkZMAl1sbW3ZsGEDI0eOpFSpUpibm+Pzakp3jRo11OedPXuWwMBAOnXqxNixYzEzMyMzM1MdvDA4OJi7d+9y4cIFoqOjSU1NVQ9IlCtXDhsbG9q1a0eDBg0YMWKEeheFt12/fp1q1XKmdL2eiVCiRAmN85ycnLh06ZL6tXHjxtG9u2oK/65duwgODn7nwYNp06bx66+/ahxr0WMCrb6clGe62Mg7nN45Wf2zfaGSWNm6kJ6i+QRAIZeRlZ6EtZ3uRvDt99y/8lvqdxhHKe+c9W5HN/xMpbq9cC+jishb94tfcC1VlSMbfsbTpyVGko83Pf6/7HUQzoTERI3giImvdkh4X0qlUt2gGhsb06t3bw4fPsypwEBatmr1YZnWwbWQEd2b5gxKRMfJSUxVYGOp2WEyNABLMwPik3PvlBhL0JiaCPA0WkYRJ1UHR9f72liofs7rfT/E67gEyYnxGsERkxPjda57t7G1QyIxJilR88ltUmI8FpbWmFtoRt+OexnNtAnf06x1Z1q07aaHEuSIeX6Ho5ty6gkHl5JY2zmTlqz5RFYhl5GZloSNw7/XEzHPbrNtybc06z6OMj6618WeP7icu6FH6fHjGnWchPzy9PF91v+VMwBcxK049o6FSErULJNcLiM1NTnXWAX2joW4f1t7zXNSLtdZnyKf3GX76mnqn52LlMDWwZmUJO0ypacmYeek+4mtrYMzj+6Gah1PSYrD3lGVpmWX77CwtGH94jEYSSSUrVSHStUaERv9LP8KhGqHhDNvtFF2ziWxzKONsnrHNurg6m+p234cpSrm3HvVmw3F1NyG4xtHYmgowd2rLqUqNiEp7kn+FQh4/uQuW1flxDBycS2Bnb0zKTruvbTUJPXf/G12Ds48vBOqdTwlMQ57R9W9t2bRLzRo0RMvb9XU/o59fqJ0WT/WLvoFv9otkEiMtdJ/bK8DIpq4OKn/D2Dq7ETGq2UKmc9jsK+lHbTS1NlRfY4+vd79IC41QyM4YlxqBoXtdAdLvBoRxcOYBPr/tVt9bNWpUF4kpvJ146rsCrnD3ag4FvdVta/t/LxoWL4EXRZu5dD1+7Tx1X8sB812Kqe+yq3+yq2dSs6lnfpYirpI6NvGVv3zi1gZCckKbKw0BzkMDcHK3JD4pNxnG+rqT0S8kOLmLMn1nCypkug4GUWcPruvbxrEbgufts/u7jM0NGTfvn2YmJgQHx9PtWrVOHbsGA0bNlSf07VrV9q1a0exYsVwcnLC09MTUA0OjBw5kt9++w2Ahg0b8s0339C1q2rNXlZWFv369ePFixeUKlUKuVyOoaGh1sjimDFjqFKlCvPmqaIQp6WlUbVqVYYNG8bXX39N1apVqVpVtb41LCyMr7/+mvT0dJo0acLUqVPx9/dn+vTpdOzYkcqVK+da1qNHj6rzCqqBElNT0/9pCcIXX3zBxo0bNZY55GX06NEMHz5c49iKE//+ZdzJ1YuO3/2tcexO8B5O75qCXC7FyEjVsXh2/yKGRhJcS+W9Fu/5/SBObBlPk57TKeZVh7tX91OkhB/W9kWIjbyDjaPmesEipaogl2Yhl2WLwYN35OzsTJEiRQi7fl39GQEIDQ3F188vj5S5275tG+Hh4YwbP159TKlUIpPJyP6Xwbv3FflSztx/UjSO1ahgQtcmFhgaop7651VcglwB957q3knB1Bhmf2/P5NVJRMfnDAQ42hoRl6T6+U6ElKplNe+vciWMSUxR8Pxl/i9ZAHAqVBiXwkW5FRZCSY+cZVU3rl3G26e61vlGRhK8KlQmPOwK1Ws3yvP8Z08eMn/aaDp270/dhi25fTMUIyMJnmUr6qUszm5efDlCs564cXE3R7dM1agnHt9R1RPunnnXE0/uBnHg73G0/WoGJcvX4dbl/RQt7acedFAqlZzYPpPoJ7foO3orFlYOXDy8gprN829bV/cSHoyeormTyPnAA2xYOReZTIZEomqGw68Hv7o2uqPtl/Ouxu7NK0lOjMfmVcCxqOcRxMdGU9FX/2ux3+RarAxDJ2oupbt8Zi871sxALpNi9OqL4r0bQRhJJJQup/s6eVasweHty0lJisPaVjVYGRP5mMS4KMpWrg2o2vSGbfrSsI0quKVMms30nzvy5TeTdb7n+3Is4kX7b99qo0L2cHb3e7ZRD4II3Dqexj2m416mDveu7qdwST+s7YpgYGiIT4Ov1MGC5bJsNs1uS6Pu0/J8z/+VW7Ey/DBJM5Bg0Ol9bHvrOt19dZ08ylfR9TaUqVidg9s0r1N05GMS3rhOkRH3cHorNkXpcn5Is7ORSbM/jcGDpy9Iux+BY/3qJF+5qT7u1LgWsUfPARAXeBHPcd9iUshBHVTR0rME5sVciT16Vu95LGJnjbuDDZcfRlLeLWeQ/tKDZ9R6Kw7CaxM6NND4ufKYZfRr4KPeqvFeVBxu9po7flmbmeJZ2JFUHQEW9cGpUGGcCxclPOyKxk4JN69dxtunhtb5qrrQR2c7VVFHu/axPIuWae1+UKeyOb3a2GJkqAq+DFC+lCkyOdx+rHsHCFMTA/4YU5ixi2N4EZvTN3CyMyI2UfVzJU9TAtrZ8tO8GHU/xcAAHGyNiE3Q3U8RhI/hswuYCGBiYkJaWhrt2rUjNTWVCRMmaOwycOTIESZPnkzXrl3p0KGD+vWxY8dy+vRpfHx8MDAw4PTp04waNQovLy/8/f1p3rw5z58/Z9asWcjlciIiIqhXr57WLgbXr19n27Zt6p9bt26Ni4sL27Zt4+VL7bV0oJpFcPnyZSpUqPBOZTxw4ABSqZROnXK2QIqKisp1lsLb7ty5w7p162jatCkXL17kzJkzgGpJx5YtW3JNZ2pqio2Njca/912y4OHTAgtrJ66dXgeoOlAhx/7Et2F/zCztAHh2/xLbF31JRmrO1kO3Lm7j8tE/6PDtWop51QHg5dObWNqqnrp6+rTk4sEF6sBoMmkW5/bMpHSlZup9toV30/PLL9m7d696VktISAiRkZF07NgRgOnTprFr506tdEqlkszMTPUMoNe8vb0JDg4m9I2Ai1s2b8bAwID69fW7Pd6bgsOzSU5T0riqajaQxAha1jLnyKVM0jNVQ95likn46UtrdbTkLCk8fymnQwMLXg8Xli9pTNniEo692rXh1JUsrC0N8fNSdZTNTA1oVM2MPWfS9TqS3qFHf47u30ZKciIA169cJPrFM1q3V0XzXzRrHAffiGjdvutXnD99hKhIVcDYiEf3uH7lIh265+zJfvXyOVYsnsYPo6dRt2FLAB7eu4WDjq0f9alc1ZZY2jgSfFxVT8ik2Vw4uJwazfpj/qqeiLhzib9n9SQ9Necp1bWzWzm3fyk9h6+jZHlVPREVcQMrO1X+szPT2Ln8e0xMLejxw2osrBxQyGUa76Ev1es0xdbWgaP7VLthSKXZ7Nu+hpbte2FlrXqqFR4WwtTRA9XXtEx5H7wq+LJ7i2qXAaVSye4tK6jVoCVu7qW0fkdWZgZS6cfbwcS3VgusbR05dXADoLpOR3etoFFb1XZ9oAq8t2BiX1KTVfV56bJ+lC5flcPbVYMrSqWSQ9uXUbVeGwoXLa31O148vc/y6d9SvcEXlPTy0XuZPCq3wMLKietnctqoKyf+xMe/P2YWdgA8v3+JnUu+JCPtjTbq0jZCjv3BF1+vxb3Mqzbq2U0sbbQ/O/FR99i/cjBlq3WgSIn3G5T9X/jVbo6NrSMnD6iuk1SazZFdK2nyxnW6e/My8yZoXieP8lU4uF21G4RSqeTQtuVUq9eGIq+uk1/t5uzbtIiMdFW7K83OYuffc/Cp0QQzc/0/JTayVM0uMzTL6Y8YGBtT/eAqinRuqT52b/ISSnzbC2NH1W5MTk3rYlG6uHq3hoRzIcSfvozn2G/VaTzHfcezDbtJDdf/zhEAgxtXZdPFGySkqbYNPnf3KU/ikuhTV/UwaeTGo6zPZecF+atvmW/Oom9SoRSHrt/nxrOc2AKB4Y+59fwl/uVK6KcQOnTs0Z+j+7dqtVOtXrVTi2eN5dAbOwR90fUrLpw+/EY7dfdVO9Vf672zMjOQZhfMVo0Xb2SQnCqneW3VfS4xgnYNrDhwNpW0DNWFKFfShPEDHbF6NRMxK1vJkygpXZvZqJdKenuYUqG0KQfPqj5DT6KkWJgZ0qxmzuenYyNrklIVBN8SSxaEgvPZzTwAeP78OX369KFbt24MGTKEmzdv0rt3b/bv34+rqyv+/v4EBAQQEBCglTYtLY0WLVowfvx4tmzZwk8//cT58+fp378/derU0Ti3VKlSnD2rPRLt7+9P1apVmT17ttZrb8rKysLw1bq2JUuW8PvvvxMXF4eRkRG2tra5DgTExsby008/sW7dOrKzs5FIJBgaGhIaGkqxYsW0zk9PTyc0NJRLly4RHx/PpEmT6Nu3LwMGDKBQoULMmTOHTp06cfz4cRIStPcH1hcjiQntBq0gcPskHlw7gkIho2SFhlRr9p36nIzUeOKj7yPNTsMce4KPLuPSoYUULuHLkQ2qvcMVcimy7EzqGKriStTvOI4rJ1awc2lfjE3MkcuyKVqmFlWbfP3Ryva5aNy4MZkZGYwdMwZzc3MkEglTp03D3l7V8Xry5Al2r/7/2o4dOzh+7BjJycksXLCAihUrMnLUKADKeHkxbfp01v/9N5s3bSIjIwOXwoWZO2+e+j0/BrkCFm5OoWdzC/y8bDAyhOv3s9l3LqdBtrYwpIiTEWYmBuoOwKKtKXRoYM6oPqqnOOmZSuZuTOFloqrDlpapZN7GFLo3s6BxVTOMJQacDMnk3HX9fomr17AlWRnpTB0/FHNzCyQSY0b/vkgdbOr5k0fq7bEAyntXYcB3o1k0cyymZhYoFHJ+HDMd9+KqLwJnTh5k+YLfKeVRljXLVFPuFQoFL54/UXf0PhYjiQndv1/JoX8mcfvKYRRyGR6VGlG3TU49kZ4SR+yLB2RnpmNh5cC5A39wZs9C3Er7sneVqp6Qy6RIszNoZGiETJrN2hndSE+JJyMtkX/uqiLGpyTG4FtP/9HhJcbGjJi4kHXLZ3D5/AkUcjk+1erxRbecGQ8pSfE8f/aIzIx0rG3sABgyagbr/5rFpBF9MDCA0l6V6Np3qMZ7Xzh1iCP7NvL4QThxL19w+dwxRv3+B/omkRjzzZjlbFn5O6EXj6JQyKjg50+Lzjn1bmpyHFHPHpCVmY6Vjerz3u/HOWxbPY3Zo7sBBpQsU5l2X+bMbkuMj2btgpFIs7OwdypCsw6D8Kz4cZ48GklMaDNoBae3T+LhdVUbVaJ8Q6o21dFGZaVhbmlP8LFlXD6saqOO/fPq3pNLkUkzqf2qjUpNiubo+uHIpFlY2xehSuPBuHl8nNkjEokx341dxqYVkwm9dBS5XI53lQa0fPM6JcXz4tlDjes0YPhctq6axoxfumNgYEBJz8q07/WjOk2XfqM5umsVC38bgKmpOVJpFl7eNWnRcaDey1R22s+4tFUFSa22axnRe48TPnIGhibGWJfzwKxozrT45xt2Y2RlQY3Dq5GnpKHIlnKpeQDZMTlPk0O6fU/FBeOpc3E7KJUkXLzK7V90x57Sh7a+ZcjIkjJ41T4sTIwxNjLir/5tcbRWDZA8fJmg3sbxbTP2qmZQrD93nTY+nhhLjPArWYTp3Roz7+AF5K9GFWwtzFj2VZtcl0LoQ92GrcjMyGDa+CGYqdupxW+0U4/Vs6pA1U71/24Mi2aOxczMHIVCwQ9jZqjbqdemTxjK08f3SUqMZ/zwvjRv2426DfN/CWRu5HKYsSaOr9rZUb2COYZGcPV2JjtPpKrPsbE0xNXZGDMTA1JV4ZGYvS6ebs2smTjYCQMDSMtQMHVlLNGv4hwkpiiYsiKW7i1sqFbBDFMTA55EyZi2MlY9w+FzlVfsn4L3+e928W8MlPkR+ewTEhYWxrFjx+jbty8Ob0SJb9OmDVOnTmXz5s389ddfzJ49mz59+mikvXXrFt9//z2DBw+mS5cueHl5MWLECDp37kyzZs1wcXGhQ4cOlCtXjooVK2Jrm7PuKSkpidWrVxMcHMzOnTsZNmwYU6dOzTOvd+/eJTk5mU2vvkQtWbIEhULBypUrOXz4MEOHDqVBA83paDExMQwaNIiff/6ZOnXqEBkZybRp09i3bx+PHz9m4sSJTJo0SSPNtGnTGDNmDP7+/gwfPpzWrVurBy1emzJlCtOnT6dkyZL88MMP9OvXj3e1aP9ndQsBMLT151c5PHj4sKCzkO9mbrEr6Czku4EdPr9778aLjzcw9LF4uXzcLSs/lqQss4LOQr6787Tgp8znt/LFPt6sko8lu6r2Li//dY03fX4PLcIqflXQWch3C9alF3QW9GL9FNeCzsJ7mb3j0x0d+anjZzlp/3/y2c088Pb2xttbe/uZffv2AbB37148PDw0pkhHRkayfv16FAoFO3bswMZG9VTR0tISd3d3HBwcOH36NGPHjmXWrFlMmTJFa3mBra0tP/zwAwEBAfj6+tK3b99c85iamsqRI0cIDw8nLi6Odu3aqXd4MDQ0ZODAgdSoUYM+ffoQHBysXhP76NEjjh49yvr167GyUo0Wu7q6smjRIm7cuEH79u0ZPXq01u8bMmQI9erVo25d7f1/Xxs7diy1atXi119/Ze/evf/T4IEgCIIgCIIgCILwefvsZh68j6dPn+Lm5qb1NF5fFK/WpP3b73szKv2nTMw8+G8QMw/+G8TMg/8GMfPgv0PMPPhvEDMP/hvEzIP/jv/qzIOZ2z/dmQcjO4mZB5/dzIP34e7u/lF/37sOUvwXBg4EQRAEQRAEQRCEz58YPhEEQRAEQRAEQRAEIU9i5oEgCIIgCIIgCIJQ4MSC+k+bmHkgCIIgCIIgCIIgCEKexOCBIAiCIAiCIAiCIAh5EssWBEEQBEEQBEEQhAKnUIh1C58yMfNAEARBEARBEARBEIQ8icEDQRAEQRAEQRAEQRDyJJYtCIIgCIIgCIIgCAVO7LbwaRMzDwRBEARBEARBEARByJMYPBAEQRAEQRAEQRAEIU9i2YIgCIIgCIIgCIJQ4MSyhU+bmHkgCIIgCIIgCIIgCEKexOCBIAiCIAiCIAiCIAh5EssWBEEQBEEQBEEQhAKnEOsWPmli5oEgCIIgCIIgCIIgCHkSgweCIAiCIAiCIAiCIORJLFsQBEEQBEEQBEEQCpxSUdA5EPIiZh4IgiAIgiAIgiAIgpAnMXggCIIgCIIgCIIgCEKexLIFQRAEQRAEQRAEocApxW4LnzQxeCB8MEfbgs6B8C4USqOCzkK+u3kurKCzkO+y2lUp6Czku8ysgs5B/jOTZBd0FvRCofz8JiSGXU8u6CzkOzdnh4LOQr5rs+nrgs5CvjvefVlBZyHfWVz5/K5TxI3Pry+h4lrQGRA+Q59fL0EQBEEQBEEQBEEQhHwlZh4IgiAIgiAIgiAIBU4hdlv4pImZB4IgCIIgCIIgCIIg5EkMHgiCIAiCIAiCIAiCkCexbEEQBEEQBEEQBEEocGK3hU+bmHkgCIIgCIIgCIIgCEKexOCBIAiCIAiCIAiCIAh5EoMHgiAIgiAIgiAIQoFTKD/dfx/qyZMntGvXjpo1a+Lr68uoUaOQyWTvnH7dunWUKFHiwzPyAcTggSAIgiAIgiAIgiDoSVZWFs2aNaNmzZpcvHiRS5cucfnyZUaNGvVO6SMiIhg6dKiec/nvxOCBIAiCIAiCIAiCIOjJpk2beP78OcOHDwfAxMSEX375hUWLFhEfH59nWoVCwaBBg2jWrNnHyGqexOCBIAiCIAiCIAiCUOCUCuUn++9DBAYGUqdOHczMzNTHGjVqhFwu58yZM3mmnTlzJm3atKFChQoflIf8IAYPBEEQBEEQBEEQBCEPWVlZJCcna/zLysp6p7SRkZEULlxY45hEIsHBwYFnz57lmu7q1aucP3+eIUOGfFDe84sYPBAEQRAEQRAEQRCEPEybNg1bW1uNf9OmTXvn9BKJROdxhUKh83hmZiY//PADy5cvx8DA4L3ynN90l0AQBEEQBEEQBEEQPiJlPuxqoC+jR49Wxyx4zdTUVOu8sLAwjeCGXl5euLm5ER0drXGeTCYjPj4ed3d3nb/v4cOHxMfH06NHDwAeP35MVFQU/v7+rFu3jmLFin1okf5nYvBAEARBEARBEARBEPJgamqqc7Dgbd7e3gQGBmocW79+PcOGDUMqlWJsbAzAiRMnMDY2pn79+jrfp3z58oSFhal/njRpEmvWrNF6749JLFsQBEEQBEEQBEEQBD3p2rUrLi4uLFiwAFDFT5g2bRo///wzDg4OgCqoYr169YiNjdX5HnK5PNclDh+LGDwQBEEQBEEQBEEQCpxCofxk/30IExMTDh8+TGBgIDVr1qROnTr4+/vz22+/qc+JiYnh1q1bpKamaqW/du0aK1eu5OnTp2zYsOGD8vIhxLIFQRAEQRAEQRAEQdAjd3d39u3bl+vrXbt2pWvXrjpfq1y5MpGRkfrK2jv7bGce6JrSkZSUVAA5EQRBEARBEARBEIT/tk968CAzM5NevXpx9erV/zntgwcPcHV15dKlS+pjnTt3pl27drmmkcvlLF68WGOQITQ0lLS0NJ3nZ2RkkJmZqXHs5s2bDB48mJcvX/7PeX5tw4YN//PI0qNHjzQCarxNJpPx/fffc/fuXY3jc+bMYc2aNe+TTUEQBEEQBEEQhHyjVCo/2X/CR1q28GZUydzcv3+fhIQEqlWrpj529OhRjhw5wsSJEwkKCqJcuXIcPnxYY4/MiIgIgoKC+Ouvv7CwsFAfNzY25sWLF3h5eamPGRkZ4efnx/Pnz1mxYgUTJ07UyENISIh6W40hQ4YAMHToULy8vFixYoVWnrOzs6lbty49e/Zk+PDhPH36lOXLl3P79m3MzMzU5+3cuRMfHx9KliypPnbq1ClcXV3x9PQkNjaWDRs2MGzYMAB+//13jhw5wtq1azV+X7t27UhOTtb6u3Xo0AFHR0cWL17M6dOnKV++vFZeAwMD2bp1K8OHDycrK4sNGzbQrVs3fv/9d/X+pEFBQWzbto2ZM2dqpdeXpLhIDmz4nbSUeOTSbEpVqEPjjj9gaJT7ralQyLkfdobwkMMkJ0TTe8QqjdelWRmc3LWQiLuXMTAwxMDQkMadhlPCq7q+i/NZOrB/L4cPHcTUzAylQsHAwd9QpoxXrudHvXjB5cuX2LNnF0O//5FKlSprvC6Xy7kSEsy5s2eIjX3J5Kkz9F0EnVwKmfLjYA/sbU0wNjbg8tUE/vz7EfJc4tCYmBiydlEVYuOz4Y32o4iLGQdPRLNyw2OtNPN/r8T1W0ms2hihn0LoEPfyBRv+mklyUjwyqZQKPjXp+OW3GOXxmUpNSWLjqjm8ePYIpUJB8VJl6d5vBGbmOXXq6aM7uXIpkPS0FDIz02nZvg+1GrT6GEUiOT6Sk9t+Iz0lHrksm+Jl61CnzY951hOxkXe4dPgPMtOTSU2MoqhHNeq2+xlTcyv1OTuW9kcuy9ZIV6SED3XbjdBbWQCOHNjJicN7MDU1Q6lU0nfgMEqXKZfr+ZfOnWT3tvWYmpqRlZVJ114D8alSU+e5N69fYfK4YWzcc0Zf2c+Vvu69e+Gh7N++muysDJKTEqhSsxFfdB+MoaH+n3842BjSs7kl1paGGBsZcPNhNjsD08lr6WvtSqY0qW5ORqbmSYu3JpORpTrmU8aEej5mmJkYYGVhwNnQTI4GZep6u3yXGBvJ3r8nk5Ych0wqxcO7Nk07/5DndVIo5Ny9foabl4+QFB9Fv1GrdJ53L+wcF4/9Q1L8C4xNzOj2zWzsnFz1VRQAtly8yfbgcMyNJSiVSn5uU4eKRZ3/NV2WVEb3JdsJqFeZL6qUVR9/npDMvIMXSUrPIiUzi6IONoxsUwdnG0t9FkODVQVPXFr5U2JIH87X705GxPM8zy82uAfF+ndBnpYBhobcGjGVpOCcB0rG9raUnzsGq7KlMTA0IOnqLW6NmIY8LV3fRdES//IFm1ZOJyUpHpk0m3KVa/FFzyF53n9pKUlsWT2LqOcPUSqVuJcsS5eAnzXqCYBH98I4vnc90ZGPMTY1o0vAT5T09NZ3kXB2MuXHwaWxtzXG2NiQy1cT+Gv94zz7E2sW+BEXn63xhbSIixmHTsaw8h/tPsO83ypy/VYyqzc90VcxBOGdfJTBg3379jFv3rxcG3qlUsm5c+eQSCRs2rSJ9u3bA7BixQrs7e0ZMGAAFy9eZNasWdSpU4dLly6xatUqNm3axOnTp4mOjkYikXDv3j0GDBiAgYGBekZAmzZt1IMN169f5/bt26xZs4aIiAhsbW354Ycf1Pk4fvw47u7uNGvWjMOHD9OsWTOMjIyoWVN3J83W1pYZM2Zw/Phxpk2bRu/evVm1ahUVKlSgcePG6sGMoKAg3NzcCA0NxdJS1ficP3+eefPmUb58eRITEwkLC6NGjRrUrFkTuVyOv7+/1u/bsWOHuix169ZlwIABBAQEANChQwcCAgLUAwcZGRmYm5ur0y5duhSFQsGXX35JVlYWDx48YNOmTRgYGLB48WI2b95MfHw8ycnJNG7cmObNm7/Dlf0wMmk2f8/tT+XaX1Cv9dfIZdmsnzeQo9tm07zbL7mmk0uziX3xAGl2FnK5VOv1PWvHkZr4kr4j12FiasHDWxf4Z/5gvv19H3ZObvos0mfn2NEjbNm8kfkLl2BnZ8+VK8GMHzeaJUuX4+RUSGeaqKgXSKVSUpJTdL4ulUp5+vQJWdlZyORyfWY/V8YSA+b+VolDJ6L5e+sTJBID5kzy5puAUixe9VBnmlpVHZi24A7Xb+UM4NnZGPP76PKs36bdmHf9wo2qPvZcv/XxlktJpdnM+fU7avu3oU3nfsikUub+NoSt6xbS/avhuaZbOvNnXFyLM2HW3yiVSlYsmMDKhRP5btQsAAKP7ECalckP41QRgu/fvs7MCYOxsrbD26+2Xsskk2azY2k/yldvT/Vmqnpi5x8DOLNnNg066K4nUpNiuHBwCc16TsHU3JqsjFR2LR/Esc3jaR0wT32epU0hmveartf8vy3w2H52bVnHtPmrsLWz59qVS0wd/yMzl6zD0Un7C8+NayEsXzidyXP/wtWtGE8eP2DiyG8YP3UhpTzKapybnpbKH/MmoyyASMz6uveSE+PZv30V3/w0A1Mzc5IT4/n1py8xM7ekZYc+ei2TxAh+7GHDhbAsDpzPwMgQfuhhQ+dGlmw5rntG4mubj6Rx54l2+wRQoZQxHkUlLN6SjBJwcTDkl752ZMvg1BX9DiDIpNmsnjUA3zpf4N9uMDJZNmtnDeLw5jm06jkqz3QvIx8izc5EIZfpPOf4ziU8uXeV1l/+grObh76KoGF3yG1WnLrCxu8642hlzvl7T/l61T62D+uKi61VnmnnH7rIw5gEreND1h5keMua1PMqjlKpZNGRIH7eeJS1g9vrqRTarMqURCmTY+b674MgRft0wGPUYM7W6Ej2y3icmtShxoGVnPZtS+Zz1Z7yVbYsIvXeI87V6gxA5TUzqbxqOle6fa/XcrxNKs1mwe/fULNBG1p2GoBMKmXRlG/ZuX4BnfvmPmi7fPYIXFyLM3rGPyiVStYsGsfaxeMZ/PMc9Tnnju/izNFtdO03klJlKn2M4gCv+hO/VuTwyRj+3vYUicSA2RMr8nXfkixZ/UhnmlpV7Jm28C5h4W/1J0aVY/22p1rnd23nStXK9hr9D0EoKB9l2UKHDh04ffo0gYGBWv+OHz+Oh4cHVapUYdmyZVSurHpKeevWLW7fvk1ISAidO3dm69atNGnShCpVqvD8+XPatm2LhYUF4eHhNGrUCBMTEzw8PDh27BiBgYFs2rQJUA1cvP5d1atXJyAggMePH6NUKjUGDgC2bt3KN998Q0REBN27d9fYJkMmk9GqVSutGQitWqmevDVt2pQff/yRpUuX8tVXX3H//n1WrVrFH3/8Qdu2bQkJCVEPHAAYGBjQqFEjAgMDmT9/PtbW1tjY2HDjxg1SUlKIj49n//79jBkzhpQU1ZewN2dcvEmhUHDu3Dnc3d05dOgQI0aMoEKFCuolCkFBQTx79oyzZ8+SmprK3r17OXLkCM7Ozjx+/BgPDw/q1avH9evXefz48UcZOAC4EbSflIRoajX7CgAjiQl1Ww4k6PgGMlITc01nbGpO7Rb98ahYV+u1tJR4blzaj/8XQzExVQ3elCpfi9IV63LhyGq9lONztnHjelq0bI2dnT0Afn5VcXcvxq6dO3JN4+PrR8dOXTRmAr3JzMyMjp26UKVKNZ2vfwyN6ztTyMGEzbtUjbRMpmT99qd0auOGtZXuz9njJ+ncvK3ZcI8e5sWf6x6RlaX5Za1kMQtq+DoQ/fLjPEl8LejMYRLiXtK83ZcASIyNadUpgOMHNpOaonsQ486NEO7cvELbLv0BVd3UtssAQi6e4FnEPQDu3gyhadue6jQeZSvhW70BF08f1HOJ4M6V/aQmRePXMKeeqNZkEKGn15OZlqgzzcMbJ/Bt0BtTc2sATM2tqN5sMPdDjyCTZutM87Hs2LiGJi2+wPbVZ6qyXw1c3YtzYNdm3edvWk2NOv64uhUDoFiJ0vhWq82uLeu0zl21bC5lK1TWOv4x6OveS0yIpU3nAZiaqQbDbewcKFXGm6eP7+i9TNXLm2JvbciRSxkAyBVw8HwGjaqZYWlm8EHvuzMwXT2BKTpewdnQTGpU+Pe9wz/U9YsHSE6Ipk6LAAAkEhPqtxnIxaMbSM+j3TUxNadeq36UqVRP5+sPw4MIu3iAPsP/+GgDBwDLT4TQuVp5HK1U90dtT3dKOdvz97nreaY7f+8pKZnadUFCWgaxKenU8yoOqO7JlpU9eBAdn/+Zz0PUziM8nKd7dsfbPMd+x5O/NpP9UpXH2GPnSL39gJLDAgBwqFcNh/rVuD/1D3Wa+1OWUqRjc6wrlsn3vOcl+NwhEuNjaNK2N6CqJ5q3/4qTBzeSlks9cfdmMPduhdCy00BAdU1adR7E1UvHef6qnoiOjGDPpiUMHbf0ow4cADSuV4hCjiZs3v0MUPUnNmx/SqfWrrn3J56mc+uOZn/il6Ge/Pn3Y7KytfsT1X3tP3p/oiApFZ/uP6EAYx4cPXqU69evM3ToUJo3b86lS5cICAhQT+3//fffefr0KfPmzWP8+PGEhYVRoUIFwsPDuXLlCoMHD2bYsGGEh4fTu7eqEjIwMNBaHtGmTRv8/f3x9/cnKCgo1/yEh4fz+PFjvvvuOwwMDLC0tKRQIdWT1Y0bNzJ06FAuXbpEenrOFK/169fj4+NDcnIyN27cYNCgQXTo0IG5c+cyffp0xo4dS2ZmJhs3bsTGxkbrd544cQJ/f3/1IIaRkREACQkJuLi4cO3aNdatW6cexEhISOC3334jMTFR/R4//fQTBw8epFy5cnTr1o0bN25w4cIFdu3ahaurKxkZGSxcuJDdu3fj6emJlZUVDx8+pGvXrpQoUQJbW1smTJjAjh07WLx48UeN4hlxJwh3Tz8kxjkdppLlaqJUyIm4F/Je75kYq5raZ1/IXeO4g3Mxop/efv/M/j8UEx1NdFQUPr5+Gsd9fHy5fi20YDKVT3y97QgLTyZbmjNd8Mq1BAwNDahcwVZnmohn6RpTEOvVdMTQEI0nBwASiQHDv/Fk5pK7fOwHwLdvhuBZrjLGJjmfqXLe1VAoFNy7pTt2zO2bIbi4FsPBqbD6WGG34jg4uRB+/TIAZb21B3pMzSxIS9X/rIpn94NwLalZT7iXUdUTzx8E60xjaVMIB5fSGseMTS1RKGRkZ+Zsf5SeGsf2Jf3YsqAX2xb1IeTEKp2zmfLLy5goYqIj8fapqnHc26cqN69r13kymYy74Tfwrqz59/euXJWb169oHDt/6hi2tvZUfOu9PxZ93XvFSpbBo2zOl4GIh7d5fP8m/s0766kkObyKG3P/mQzZGxOkbj+WYmgAnsXyXorZubEFP/awYXRfW/q2tsLBJqe7de+pVGs6c5ZUiaX5+w9IvKtHt4Mo7umncZ1Kla+BQiHn8Z33a3cBzh9ZR1m/hhzaPJsV0/qyYHQbDm6ciUymv8G6yIQUniekUNOjqMbxGqWLEvQg92n+SemZLD8Rwi9ttR9A2JqbYWdhxryDF8iSylAolPx97jpfNy6Yz9W/MS/mikUpd2JPnNc4Hnv8Ao4NVbNmHRtUJ+3uYzKfRalfT7v3mIwnkepzPpa7N4MpXdZH4/7z8q6uqifCr+SaxrlIcY16wsW1OPZOhbl9Q9WvP3V4C2W9qxN4cCPzfx3Mbz92Yt2SiWSka293l998vW21+xPXE1X9ifLafX+AiGcZmv2JGo4YGhoQdltHf2KwBzOX3P/o/QlByE2BDR6sX7+ewYMHM2fOHK0tKfbs2UNAQADm5uYMHDgQKysrBg8eDEBwcDDu7u7s378fCwsL7t27h7u7u65fAWjPPMjN3LlzSUxMVC93SElJYeDAgdy5c4eOHTvyx2yyydgAAQAASURBVB9/YGZmRsWKFdVpevTowZ07dxgyZAg9evSgUaNG9OjRg5YtWzJo0CCqV69O165d+euvv3QGUHxz5gGAl5cXFStWRCqVUqNGDVxcXHB3d1cPqMjlciZOnKheHzV9+nSCg4P55ptvqFevHoULFyYqStU4VKpUCSsrK+7fv0+pUqXo0aMH/v7+yGQyxo4dS3R0NLt27cLf358RI0ZgaWnJ999/T69evf7t0uWblMQYrGycNI4ZGkkwt7QlOSEql1R5s3NUra2Mi3mscTzm2V3SUj7uk4P/urj4OADs7e01jtvZ2WvMyvkvcnIwIS5Rs1MrV0ByqhRnx39/+ieRGPDdV6VZu1l7ucKg3iXZfTCS6JdZ+Zbfd5UY/xJbO0eNY0ZGEiytbIiPi8kjjZPWcRs7RxJepanfpL3GazKplJuhFynhUSF/Mp6HtKQYLG00l8gYGkkws7AlJTFaZ5rS3o2xsHbQOPbwxglsHNw0jjfoMJqO36yg67D1NO81k4c3TnJgTe5T7D9UQpzqc2Nrr3mNbO0ciIvVbiNSkhORyaTY2muWxdbegbTUFDIzVU/E42JjOHpwF937DtZTzv+dvu6918KunGf8912ZPnYArTv1o0x53/zLfC5srQxJStXssSuUkJahxN469+7TzYfZzP0nmXkbk5mxLonoeDkTB9ipBxDOXtOuGyp5mPA4UvdygPyUnBCDla3m39zISIK51fu3uwBP71/jxqVDVK7VhgGj1zJo3D88uHWRI5vnfmiWc/UyRbV0xNHaXOO4o5U5MUm5LyuZsvsMw5rXwMrMROs1Q0MDlvdrw9WIKFrN/odey3Zgb2nOl7X1v27+fZi+WtaQFaXZJmfFxGLmVlh9Tla0dv2SFROnPudjSYp/iY3OesKWxDjd9XlSgnYaABtbB3WaR3evE379EkVLePHDxOWMnrmRpIRY1i6ekP+FeIuTgynxCZqDznIFpKTKKOT0bv2Jb78qybqtOvoTvUqw69ALYmI/fn9CEHJTYIMHBgYGuLi4aKzLf61Vq1Z4enqSnZ3N7NmzSU5OVgfxa9q0KefOncPS0pKIiAhOnDjB8uXLPygvERER3L59G6VSyYEDB5g2bRoWFhb88ccfeHl5YWqq+vCnpKRofJG6cOECWVlZlC5dmkOHDjFy5EiGDh3KggWqdcFNmjShRIkSfPfddzRq1IgNGzb8a17i4uJQKpUULVqU9PR0rKy01+y9zsMvv/zCkSNH8PHxISFBtW7vypUrtGjRQn2ut7c3EyZMYMGCBWzZsoVLly4RGBhIsWLFmDx5snpgpX379jx48IATJ07kmb+srCySk5M1/kmz379Syy3gmfI95wZZ2jhSqWY7jm2box4suHpmO/ExT7QGKoR383pGzJve9/p8SuRy3RHPDN6hVvSv7YRMruDGW08JfCva4mBnzLHT77/byocy1HG9IO9rllsaRS5ptq1fhJFEQrM3ljLok6Hh/16mN0VFXOfa6Q006DhG47iDSykMXsXisbYvTIves7h/7Qgvn+t3ltL/+pnSdT6AUqFQxQlYPJN+Xw/H2Fj7y9DHpM97z9uvNr8v3MLkhVs5e2IPW9ctfP+M/g9yC4xokMckgaRUpTowokIJhy5kEBElo2l17f4OQKOqZrg4GLHnzMcJXpfrdcorCuS/yEhNwsO7DkVLqb5km1vaUL/1AIJObta5dXZ+kuiIp6XIJSr63it3KOZoi1+JIjpfVyqVbAu6RY3SRdn9Y3e616zI0bAHDPv7ELLcot99ApQy7YEnA0ODN17XHV/ozXM+ltwCI+YVyf7f0qSlJlG0uCeVq/kDYGxsQpuuXxMadIKkBP23x/JcPjuGeVUUrzSo5YRMpuTGbc04UT4VbbG3M+b4mYLrTxQUhVL5yf4TPlLAxP+VRCJBKpXi4ODATz/9xKZNmxg5ciSzZs3i1KlTGBoa8vvvv/P8+XOmTZuGsbExXbp0wcHBQeu93g6Y+Dr4oUwmUx9fvHgxa9aswcPDgx49elC0aFECAgI0YgxkZmZqDR74+voyf/58evfuzblz5yhfvjw3btxQ714QFRXFo0eP2LFjB3Xr1tXK3+tlC28uQ3j48CHu7u6Ym5uTlJSkc/DgTRs2bGDSpEnMmjWLFy9ecPHiRa3dEiQSCTt37mTJkiVUqKB6UvjkyRPGjRunnvVw6dIlrl27xubNutfdvjZt2jR+/fVXjWMdv5pAp36T8kwX/ewOB/+ZrP7ZsXBJrO1cSEvWHC1XyGVkpCVha6+7YX8XbQMmc3rfH2xc8DUmphZUqN6KoqV9sLb/98BDQg5HR9VgS2JCgkZwxMTEBJwK6Q6W+CkqVdySHwfnrMF98jyd2LgsHOw0v2gZGYKNlfE7jfC3aVaE0xe0Z19UrmhHUVcLFk1VrTt3sDehZePC2NsZM+eP+x9YEk3PIu6x4a9Z6p8LuxXH3sGZ5ETNGTZyuYy01GQcnFx0vo+9QyHu376mdTw5MU5jmuhr+7ev4sqlQH7+9Q8sLK0/sBSaYiPvcHJbTj1h71wSK1tn0lLiNM5TyGVkpidh/Q71xMvnt9n917c07DwOj0pN1MeVSiVyWbbGcghr+8KYW9oTH/2QQm5ldb3dB3F49ZlKSozXCI749s+v2djaIZEYk/TWNU1KiMfS0hpzC0vS09OIjopk1bK5r95L9bf69ZchfPnVt3h4ae++86E+5r2nVCoxeKMD7lioCB16fMO837/ni26DMDE100r/PtwKGdGzeU57GxUnIzFVgY2l5hdTQwOwNDcgPjn3L5LGEpC+9V3uSZQMt0LaXa6aFU1pU8eCuf8kEZeUv19Oo57eZd/fOZ8npyIlsbF3ITVJ8/Mkl8vISE3C1vH9n0Jb2Trh6FxM45idYxGk2ZlkpCZiaaPdP/tQr3c/iEvN0AiOGJeaQWE73X2nqxFRPIxJoP9fu9XHVp0K5UViKl83rsqukDvcjYpjcV9VPKt2fl40LF+CLgu3cuj6fdr4ftwYAf/mdUBEExcn9f8BTJ2dyHi1TCHzeQz2tbRn6pg6O6rP0YfnEffYtDInIG1htxLYOTiTnKh9/6WlJmGfSz1h5+DMgzs66omkeOwdVWls7JwoVPit5aqFVPdzQlw0tvb502cpVdyCHwbmLIl78jyDl3FZ2NtqLmMyMgRrK8k79SfaNi3M6Yva/QmfCrYULWLOwsmqATkHexNaNnLB3taYucsffGBJBOH9fZKDBwCJiYkolUqOHTtGZmYmR44cAVQzFq5cucLu3btZvHgxJ0+eZPPmzdjb2+vcEnLfvn3Y2dkBqJ/IZ2dnU6dOHX788UcaN27Mt99+i7X1q8BaptpTjPbv38/58+eRSCRkZmaSnp6OhYWFeqr/rVu3aNSoEZs2bWLy5Mk8fPiQlStXsnbtWmbPnk27du10lvF1mtdP/kG1C0O9eqqARDExMep85aZ69epUqFCBKlWq0Lt3b4oWLUrVqrrX5jVo0IBt27YRHh5OlSpVqFixIn///TcJCQlUrlyZnj3//Sni6NGjGT5cc1rvzuB/f9rlUtSLgJF/axy7fmEPhzZOQS6TYiRRXbdH4RcxNJJQvMz7ry+UGJvQqMMwGnVQbX2ZnpJA4O5F9B+z8b3f8/8jZ2dnihRx5XrYdTw8czpMoaFX8fWtUoA5+988jEhj6BjNjkczf2eGDfTAyMhAPQPBr7I9MrmS0Bt5r+O3szXGz9tO59aMazZFsGZTzhZLW1fU4ODxKL1s1Vi0uCejJv+pcexC4AH+WTkbmUyK5NVnKjzsMkZGEsqU99P1NpT1rsaeLStITozHxk7VwY96HkF8bDQVfHLWwyqVSrasnc+Th3cYP3Mt1jb2HNy5Ll8j3ju5etHle816IvzybgK3T0Uul2JkpCrT07uqeqJo6bzriWf3gji6aRwtes2geNk63AnZj2spP6zti3D93CZuB++l2w//qM/PykglMz0JW8eiebzr+3NyLoxLETduXb+qsVNCWGgwlXy1l9UZGUkoW6Eyt8KuUqNOw5zzrwXj7auKg2BhYcncZTllCDy2n2XzpzJx+mK9lAE+7r038cfutO/xNX41csovlWajVCqQyaT5Nnjw/KWcWes1P/s1K5rSvaklRoao1yeXLWGMXAH3ctlJwdQY5v3oyK8rEomOz3na62RnRGyS5tPfJtXMqFXJjKlrEolNUtC8pjmHL2bkS3kACruXYcAYzcCaoef2sG/9VI129+GtSxhJJJTwev92t0jxssTFaEaJj4t5gqm5lV4GDgCK2Fnj7mDD5YeRlHfL+XJ46cEzanno/gxP6NBA4+fKY5bRr4GPeqvGe1FxuNlrrlO3NjPFs7AjqToCLBa0zKcvSLsfgWP96iRfuak+7tS4FrFHzwEQF3gRz3HfYlLIQR1U0dKzBObFXIk9elZveXMr7smI31ZqHLt0ej9bVs3UuP/uhAVhZCTBs5zufoVXxers3/onyUnx2Niq7qXoyAgSYqMoV7kWAO4lvIh+odnOxrxQ3Y9OLvlXnz+MSOf7cWEax5o1KMT3A0pr9icq2an6Ezf/vT/h622rc2vGNZufsOaNpZFb/qzGwRPRYqtGocAV2LKFfxMVFUXFihVp0qQJZmZmNGvWDFDFQ2jatCkTJ04kNDSUhg0bsmzZMvbs2cPEiRPVwREDAgJo0KAB7du3x9/fHwMDAy5evEhgYCDNmjXD0tKSv//+GxsbG3VMgdw0adKE8PBw5s+fz8WLF5FKcw+odfbsWTw9PTWelLwLuVzOlStXWLNmDYMGDQLg6dOnWuvNAU6fPs3Lly/5559/2L17N5s3b6ZFixYcP36cfv366Xz/7OxsDAwMSEpKolu3biiVSsqWLcsvv/zC/PnzUSqV6m0e82JqaoqNjY3GvzcD3/wvKlRrgaWNE5eOqTo3Mmk2Zw/8Se0W/TG3sgPg8e1LrJ7+Jekp2tspZWel/2vk9GcPQlk/bwBNu/yMnZN+vhB8znr07MX+vbtJSlI1gCEhwbyIfE6HjqpgZTOmT2H3Lu2dF5RKJZmZmUizc78+GZkZeb6uTyfOviQ+MZuu7VRbdxpLDOjduRgbdzwlJVX1yNC3oi1Lpvtga6M5xlrO0xpDQwPuP857qzYAQ8OPOy20Wp2m2Ng5cGyfaqBMKs3mwPbVtGjfGytrVSDI2zeCmTamPynJqs9UmfK+eFXwY+9W1U4ySqWSPVv+olaDVri5lwIgMyOdpTNHYmpmwYhJS7G2sUcul6nfQ5/K+LbEwtqRq4E59UTQ0eVUbdwfM0s7AJ7eu8Tm+T3JSM158n3jwlYuHl5K5yHrKF62DgDRT29gaat6wl+khA/RT8K4f+0ooJrNELhjCiXK1aNwcf1F6+7Uox+H928nOSkRgGshl4h+8YzWHXoAsGDGBA7szpkB1qFbX86dOkpUpCqSd8TDe1wLuUin7l/pfP/XU8T1PVX8bfq698pXrsGujcvUgc/SUpPZt20ltRq0yveZL2+7fCuL5DQFjauplhtIjKBVbXMOXcwgLVP1JcGrmDEje9ti9SrYYZYUnsXI6NTQgtef/AqljClXwpijr3ZtMDKEXi0sKexkxLRXAwcAdlb675JVrNECK1snzh9RDdLJpNmc2vcndVv2w+JVu/swPIg/J/ciTUe7m5WZjkyq/TS1QZuBXLuwl8iIcADSUhI4ve8vajfX73aagxtXZdPFGySkqf625+4+5UlcEn3qqmZ/jdx4lPW57Lwgf/1ZeWMmcpMKpTh0/T43nuXE3AgMf8yt5y/xL1dCP4XIhZGlasciQ7OcPpaBsTHVD66iSOeW6mP3Ji+hxLe9MHZU9RedmtbFonRx9W4NCedCiD99Gc+x36rTeI77jmcbdpMa/nGfYFep1QxrO0eO71cNeEql2RzauYpm7fpi+aqeuHPjMrPHfUXqq3rCo5wvnuWrcGCbasBSqVSyf+tyatRvjau7ahZAk3a9uXfrCjdDVYEjs7My2Lt5KTUbtMHK2k6vZTpxLpaEJCld2qpibhlLDOjV2Z2NO5+p+xM+FW1ZPLUSttZv9Sc8rFT9iYh36E8YGWBYAMtMCoJSqfxk/wkFMPPg9RRE+b/s737hwgWaNm2qdXz9+vUAbNu2jcWLFxMYGKh+7YsvvlD/Py4ujlatWtGsWTN+/fVXpFIpEydOZM+ePfz4448MGDAg1y/4b85eKFy4MF5eXly4cAGAESNG0KJFC2xtcyKyZ2VlYWRkxKNHjzh//jxTpkxh9erVhISEULas9tTX7du3c+DAAW7fvk316tXx8vJi6dKl7Nu3j0qVKtGggWpkPDw8XB3kMTAwUL00Y8WKFUyePJnmzZtjY2NDeno6bdq0oUaNGkydOpUiRYrQt29fjd/ZsWNHlEolrVq1YuTIkUyePBkfHx9OnTrFgwcPCA0NpXDhjxs4x0hiQq/hK9j/9yRuhRxBIZdRpnJDGrT7Tn1OWko8LyPvk52VhoW1qmHMSE1k85IhRD+7S1ZGKiundMO//feUrqD6ghD5+AaHNk5FLsvGqXAp2gVMpnCxch+1bJ+LRo2bkJmZwbixozA3t0AikTBl6kz1oNbTJ0/U2zi+tnPHNo4fP0ZychKLFs6jQkVvfh45Wv16SkoyU37/lUePH5GRns6I4cPo1asPvn4fbzaDTKZkxMQwRnzriX/tQhgZGXAuKI7Vb8wasLczoYS7BeZmRiQl58xB9vKwJiomk4yMvOuwHh2K4lLIjJaNXNi5/znxifqL4v+axNiYERMXs27ZNIIvHEcul+NTrT7tug5Un5OcFE/k00dkZWZgbaO6dt+OnMmGv2by60+9MDAwoLSXN137qGbuSKXZTBkVQEpyAqkpScy6oYrInhj/kgbNOui9TEYSEzp+u5LjWyZxL/QwCoWMUhUbUbNFTj2RnhJHfNQDsrPSMbdy4NLhP7hwYCFFSvpy6O+fAZDLpMikGer4Cc5Fy9Hx21Wc37+AK4FryM5MpahnDRp3majX8tRv1ILMzAymjBuGmbkFEokx46YsxO5VUMTnTx9ja5fzpLZCJT8GDR3F/BnjMTMzR6FQMGLsNNxLlNJ67/jYl+zZpoqts3vb33To2lfrHH3Rx70H0LXvDxzbt5G5vw3F2NiYjIx0qtZqTPMv9B/cV66AeRuT6dXSiirlTDAyhGv3stl7Jmd2gLWlAa5ORpiaGJCaoepYLtycTMeGlowOsMXAQBVgcdb6JGISVF9Wh3WzoYSrhKfRcn7soepLWJoZcPfpR6gjJP/H3l2HRbW8cQD/Ll3SKoIodiIoKmJigoXdXsWOa+e1OzBRxGuhYosY2JhwxUAQQVBQQEWQ7oaN+f2xcnAlrlfBBX/v53l8HvfsnGVmz+w5c+a8M6MA28WHcfX4Orz2cYdQKETjll3RbWDhjWVWehLiP4chPzcbql+uu9mZqTi9ZzZiI8XX3QPrRqLHkNmo31x83a3VoCWGTNmCy04rISsrD6FQANP2A9Cpb/EPNMpK/5YNkZPHx7Sj16GiIA95WVkcntQfOlXEN97vE1K4ZRy/ZXdN/GT+1ONX6GfaAPJysmhVpwa2juiO3beecuPYNVSUcGBCvxKHQpSHxlsWo3r/7gCANlcOIO7afQQvsYOMgjyqNKkPpZqFIf6fT7tBVk0F5u7HIMzIgiifD28rW+THFw4PeDFiDprvWYUOzy4CjCHl2UuE/LW9yN8tb3Ly8pizcj/OHtqEl8/uQSgUokXrzug7rHCy14z0ZMREvUdubjbUvpwnpi7agfNOW7F5yWjweEDdhiYY/Mc8bh+dqvqYvWIfrpzei6vnHAHG0LBZa/QfMfPbLJQ5gYBh4dpALJxeH5btdb+0J5Iloga0NOTF7QllWaRl/Eh7wgDVdRVh3bUaLt+M/iXtCUJKwmO/sBtFIBDgzJkzOHToEF68eIH+/fvDxcWlSDo+n48BAwbAxcUFaWlpMDEx4VYGEHyZFObChQvYt28fPD09i+zv6+uLsWPHok2bNvjzzz+5eQ4A4PDhw5g6dSo2bNiAlStXcttjY2NRo0YNMMbw9u1btGjRAtevX0eTJk2grKwMoVCI+Ph4DBgwALa2tli1ahW3b1hYGNLS0jB9+nRMmjQJ06dPR0JCArZu3QpHR0eMHDkSx48f59KfPn0aV65cwYQJE9CrVy/Iycnh4cOHOHjwIKZOnYqNGzciNDQUUVFRePLkCSwsLCAUCnHt2jWJORwA4N27d5g2bRrGjRuHcePGYcCAAbhx4wbMzMywfPlyDB48GADw+PFj7Nq1CytXrkTLli3RqFEj2NnZwcbGBmPHjoWbmxvGjx+PXr16oUuXLsVGPJTkjNfv1xM3uuPv17sbGl72ofPSNmHeR2lnoczZ2VWeISHfKzDy1zW6fxXzupV7xZGSZPPLZhhARXLs8u+3Prp1j/IZCiBN/aL2SDsLZe7+yAPSzkKZU/Hzl3YWytzqlcUv+1vZPXLrJO0s/JCF+/89EkNads5UlXYWpO6XRh7Iyclh3Lhx0NbWxvLlyzF//vxi012/fh329vZQU1MDn8/H33//DScnJ4n0jDGYmJhI7JeRkYEDBw4gJSUFd+/eLXYJx4LlF7+Vl5eH+vXFk6o1atQICxYswKRJkxAVFcWFqcjKyqJmzZowNTUFACQkJODJkyd4//49MjMz4eLiwg2BqFq1Knbu3InRo0djypQpEn9rzJgxGDNmDPfa09MTISEhOHPmDGRkZNCsWTNYWFjA2dkZFhYW3N8umBcBAFJSUnDo0CGkpaXhzJkzqFFDPHGYq6srRowYgW7dusHS0hJRUVG4cOECDA0N4erqKhFtwePxICMjg9OnT2Pjxo04f/48unbtitTU1P/UeUAIIYQQQgghP0v0Eyu/kPL3SyMPyltkZCSqV68OBYWyW66qYOw2j8eDoqLif57L4Hvk5+f/5zwHBgaiYcOGxU7w+LWsrCyoqpZvLxlFHlQOFHlQOVDkQeVAkQeVB0UeVA4UeVA5UORB5VFZIw/m78uUdhZKtHvW79ee+a8q7GoLP6K4SIOfxePxoKxc/Hi5svIjnR3Gxsbfla68Ow4IIYQQQgghhPz+fqvOA0IIIYQQQgghldPvExP/e6qwSzUSQgghhBBCCCGkYqDOA0IIIYQQQgghhJSKhi0QQgghhBBCCJE6RqstVGgUeUAIIYQQQgghhJBSUecBIYQQQgghhBBCSkXDFgghhBBCCCGESJ2Illuo0CjygBBCCCGEEEIIIaWizgNCCCGEEEIIIYSUioYtEEIIIYQQQgiROlptoWKjyANCCCGEEEIIIYSUijoPCCGEEEIIIYQQUioatkAIIYQQQgghROpo2ELFRpEHhBBCCCGEEEIIKRV1HhBCCCGEEEIIIaRUNGyBEEIIIYQQQojU0aiFio0iDwghhBBCCCGEEFIq6jwghBBCCCGEEEJIqWjYAiGEEEIIIYQQqaPVFio2ijwghBBCCCGEEEJIqXiMMereIT/lVWi8tLNQ5lo0qCbtLJS5d+GfpJ2FMpcpVJV2Fsocj/f7nZI/pmhJOwtl7r5XprSzUC7G9pF2DsperkBB2lkoc7kCWWlnoczpKGdLOwtlLjNfUdpZKHPZrUylnYUyp/f6qbSzUC7MGmpLOws/ZLpdirSzUKIDS3+/9sx/RcMWCCGEEEIIIYRIHT3Xrtho2AIhhBBCCCGEEEJKRZ0HhBBCCCGEEEIIKRUNWyCEEEIIIYQQInUiWm2hQqPIA0IIIYQQQgghhJSKOg8IIYQQQgghhBBSKhq2QAghhBBCCCFE6mi1hYqNIg8IIYQQQgghhBBSKuo8IIQQQgghhBBCSKlo2AIhhBBCCCGEEKljtNpChUaRB4QQQgghhBBCCCkVdR4QQgghhBBCCCGkVDRsgRBCCCGEEEKI1NGwhYqNIg8IIYQQQgghhBBSKuo8IIQQQgghhBBCSKlo2AIhhBBCCCGEEKkTMRq2UJFR5AEhhBBCCCGEEEJKRZ0HhBBCCCGEEEIIKdX/zbCF1NRUaGpqSjsbFQpjDDweT9rZIIQQQgghhBBabaGC+6WRB6mpqXBwcEBubi7u3LmDcePGISQkBIGBgRCJRMXuc+DAAYwZMwZZWVnctn/++QdjxoxBSEjId//thg0bYs2aNaWm8fb2xooVK5Cens5tO3z4MGxtbfHp06cS98vIyEBycnKR7efOncPnz5+/O4//lZOTE+bPn4/379//0P7jxo3DmDFjcPHiRSQmJpZx7gghhBBCCCGE/C5+aeTBrl27cO7cOVhZWUFHRwcuLi5wcnLCpEmTEBwcDB8fnyL7pKamIi4uDqqqqrhw4QKGDh0KLy8v+Pj4QF9fv0j67du3Q1NTExMmTICcXGHxRCIRunbtCgBIS0vDyZMnMWvWLIl9z507BxcXF4wdOxbq6uoAAA8PDwQHB0NPT6/Ecj18+BBDhw7FpUuX0K9fP277n3/+iTVr1mDOnDncNsYYRCIRZGVlAQDHjh2DoqIi3r9/D6FQCA0NDS5tXFwcPDw84OLiAkNDwyJ/19bWFhYWFnjw4AECAgK47cnJydDW1i4xvwWUlZWRm5sLJSUlGBkZ4eHDh2jTps2/7ldW3G9exn33a1BUVAZjIthOmYP6DZuUmP7ZYw9ccT0NBUVF5OflYcTYyWhpZs69//rVSxzavwOampJlnzprMQxq1iq3cvzubt64BvfbN6GkpAQmEmHytJlo2LBRieljY2Lg4+ONa1cvY/acBTBuYSLxfkZGOg4f/BuRkZ/AGEO9evUxeeoMKCsrl3dROHdvXsID96tQVBLXvXGT56Jew6Ylpvd+/BBXXU9CQVEJ+Xm5GDZ2KkzN2nHvCwQCnHXej6iI98jMSIeSsgrGTpyNOvVL/p7K2p2bl8VlUlQCYwzjp8xFvVJ+T96PH8LN9RQUFZWQl5eL4WOnSJTpa69f+WHjyrk4e/VReWW/VKmJ0XA7sQmZ6UkQCPLRsHkH9Bo2F7KyJV/CRCIh3r3yQuBzd6Qlx2HyX04lpuXn58Fh9VB07jMRrTsPKo8iFKFVhYfh3ZShpsKDnCwPIRECXPPKxfc+cGnbRB592ythjVOGxPYOxgpo00QeDICSAg8efnnwfsMv+wIUIykhFicObkdGWgr4/Hw0b2mOoWNnlHqcMjPScPrILsREfYSIMRjVbYTRk+ZDSVmFSxMS5AeXE/sgKyuHvLxc9Oo3Ah279f0VRUJyQgzOHtmKjLRkCAT5aGJigYGjZ5VapqyMNLgc246YqPdgjKFW3cYYZrtYokx7NsyEgJ8nsV/dhiYYNHbOtx9X5pITY3Dx6GauTI1bWKDvyDmllykzDZeP2yH283swJoJhnaYYNH4JFJXEZRIKBXhw9TgCnt+FrKwcBAI+eg6aAlPznuVenns3L+LhHTcoKimBiRjGTpmPeg1KPp8/f/IA11xPcOe+oWOmwcTMQiLN6wBfvHjuiSD/59jmeL68i1Ci5IQYnHP6Uv/44vo34Dvrn/hYMRjWKVr/AOBDaCDuXzuFuOiPkFdUwjDbRajTwLjcyqLWrAGq97GE0axxeNJ5JHIiSn+4VmvaKNSaNAzCrBxARgZvFm5Gmm8g9768lgaa7loOtcb1wJPhIe3lG7xZuAXCrOxyK0Nx7t68hIfublx74o/J80ptTzzn2hPituywsVMk6l9CfAwunj6CtLQUJMbHolad+vhj8lxoaun8iuIQ8q9+WefBmzdvsG3bNjx9+hQNGzaEQCCAkpISXr9+jYMHD8LZ2Rlr1qzBlClTEBoainXr1gEAPn36hJSUFHTq1AleXl7YtGkTHjx4gPnz53M3+F+bNWsWGjRogMDAQLRs2RLOzs4AxB0G8+bNg6amJmJjY/H27VvweDz8+eefAAChUIgLFy7g77//RnZ2NhITE6Gjo4MHDx5g+/btUFBQQEREBEQiEerUqSPxN0NCQlCrVi2JjgMA4PF4aNGihcQ2kUiEnj17IiMjA76+vujcuTPU1NSgq6uLNm3aYNasWVBSUkJISAjCwsJw9OhRyMjIcHks6HQAAFlZWezbtw/Pnz/ntuXl5aF9+/YYNmwYNmzYUOox0dTURExMDPr27YspU6bgwYMH8PX1xYwZM0rdryw8vHcTl11Owc7+CDQ0tRDg9xwbVy3ATkdn6OhWK5I+MOAF/t5rhy27DkLfoBYiPoZj1ZI/sWbzHtT76gZt4NAx6NqjT7nn///FvbvuuHD+LHbvdYSmphb8/HyxeuVf2Lf/EHR1qxa7T2xsDPh8PjLSM4p9f8um9dA3qIndexzBGMOuHXbYvXMblq8sPTKorHjeu4ErF05g8+6j0NDUxis/b2xZPR92+04WW/eCAnxxyGELNu48ghoGtfDpYzjWLp2OlZscULd+YwDAhdOH0aSZKf6YJG74X3FxxubV8+B47AoUFBXLvUwe927gissJbLE/+uX35I3Nq+Zjm+OJEsr0Agf3bsXGXYeh/6VMa5bMwKrNe7kyFcjOysTfuzeClRAdVt4E/Hw4bZuCVh1t0NVmGgSCfBzdNg23zu9Ev9FLS90v/nM4+Pl5EAoFpf6NW+d3Iv5zeFlnvURyssCfQ1Tx/A0fd57nQVYGmDlYFQM6KeHyP7n/ur9WFR6GdVNGdq5kT0PLhvJo1Uge+y9lIV8gTrdolBpSM0V4+0lYXsUBAPD5+di+ZjY6dO2D/sMmQMDnY8e6OXBx3odRE+eVuJ/D1r+gZ1ALa3c6gzGGQ/ZrcXjPOsz+yw4AEB35Abs3LMCC1bvRqFlLJCfFY+2CcVBRrYJW5p3LvUz262egnWU/9BkyGQI+H3s3zsSlk3swzHZhifsd2L4Q1fVrY/m2M2CM4djelTjusArTl+zk0mho6sB2dunX6PIg4Ofj701T0aazDXoNmgKBgI8Dm6fj6undGDRucYn7Hd05H9Vq1MaiLefAGMMpx+U45bgCkxbuBgDcdHFEkO9DzF5zFGrq2vgc8RYOaydAQ6sq6jQ0Lbfy/HP/Oq66HseGXc7Q0NRG4MtnsFs9B1scTkNHt3qR9K8DfHHEYRPW7TiGGga1EPkxDOv/morlGx1Rp35hZ2vkx1AI+QLk5+UV+Yxfhc/Px54NM9CuSz/0/lL/HDbNxOVTezB0fMn17+AOcf1bZieuf8cdVsJ53ypMW1xY/x7fv4JHd10xfOIS1G3YosTPKktqDeuACYRQ0i96TfpWzXGDUH/pNHiZD0Z+QjJ0e3SA+U0n/NOyP3I/xwEAzFwckBn6AY8thgIATI5vg8nRrfAbUf4dcAU8792A2wVnbNp97Kv2xDzY7TtV7LX3dYAvDjlsxoadTl/aE2FYt3Q6Vmzah7r1GyMvNxcnDu3GxBmLoaVTFXx+Phx3rsXuzX9h7bZD/zdDjRmttlCh/ZJhC5mZmZg8eTL4fD5evXqFnj17okuXLgCAESNGYMGCBQgICEBKSgouX76Mzp074/79+/Dw8MDUqVNhZmYGd3d3REVFYcaMGXj69CkA4Pjx4/jzzz+xevVqrqIpKytj1KhRqFatGkaPHg0PDw94eHhAQ0MD9vb28PDwQEhICBhjXMcBALi6uqJjx46wsbHB6tWrMWbMGDx+/BixsbH4+++/YWlpiS5dusDY2BheXl4S5SsYRgEAf/31F5e/4sjKyuLBgwc4duwYAOD+/fu4ceNGiU9dq1SpAgMDAwDAggULYGlpyf1r2LAh+vTpAxcXF26blZUVdHV14eHhgY8fPwIAJk+eLLFfwT8XFxfcuXMHlpaWePnyJbZt24ZZs2YVKV95cD17HD2tbaChqQUAMGnVFgaGRrh+xaXY9BfPOaNdhy7QNxBHENQ2qodWbSxw2eVkuef1/9m5s6dg3bsvNL8cp1atWsPQsBbcLl8scR/Tlq0weMgwqKioFHkvMDAAQYGvMGLkaADiDraRo8bi6RMvfPzwoXwK8Y1L546hu/UAaHyJUGnRyhz6hrVx0+1csekvnz8O8/ZdUeNL3atlVA8tW7eHm8sJLo1uNT20bld4I2Nm3hGZGWlISoovx5IUunT2OHpYD/jq9/SlTFeKf2J26dwxmHew5H5PtYzqoWWb9rjyVZkKHD2wC42bmRTZ/qsEPLuJtJQ4dLS2BQDIySnAsv9kPL1zGtmZqSXup6CojM59J6Jhi46lfv67wMfIzS6+o6u8mDWSh6aaDB68EN+YCEXAXZ88dGmpABWl0huHPACjeyojOKJoh0j9mrIIDOcj/8tbKRkMH2KEqKEjWyRtWfN+dAcpSQmwGiD+bcvJy6PvkPG4e8MFmRlpxe4TEuSHt6/9YDNsIgDx+WDA8InwffoQkR/DAAA3Lp1E3YbN0KhZSwCAtk41dOphgyvnj5R7mXy9biM1OR49+//Blcl60AQ8vHUWWSWU6d1rX4S+eYE+Q6dwZeo7bCpeet/H54jQcs/zv/F7cgtpyfHo2nccAEBOTh49BkzCo9tnkJVZfJnC3vggPNgXvQZPAyAuk9XgaXj1/B6iP70DYwz/3DqN7jYToaYuPq8a1G4E864Dce9KyRE/ZeHyOSd0sxrEnc+NW7aDgaERbpdwPr/i4oQ27btx53NDo/owbd0BVy8cl0hnPWAUzDv1KNe8/xvfx+L61+Or+mc18PvqX+8hhfWvz1DJ+hcXHYGr5xwxe+X+X9ZxAACxl+/g/e6j35W2wYo/8enweeQniIcEJ957jMyQcNSZawsA0O7UBtqd2yBs89/cPmGb9qPGYCtUad6wzPNekkvnjqK79UCJ9oSBYW3cKrE9cQxtJdoT9b+0J8QPOkPe+KNNe0to6YgfzsjLK2DYmKkIDQlCfGz5DYMm5L8o98iDvLw8LF26FAcPHoSZmRnat2+PQYMGQV1dHcHBwbCwsIC+vj6WLl0KBQUF2NnZQVZWFpMmTUJ4eDgXeWBiYgIlJSVMmjQJzs7OGDpU3NN4+PBhmJqaIiEhAdWqiXv57OzsICMjA4Gg+KdN06dPx5w5c9C0qTisKDQ0FJs3b8aJEyfw+PFjPHnyBC9fvsTSpUuxY8cOLFwo7uHds2cPdu/ejbZt23KflZ+fD09PTyQnJ8PT0xOPHz+GkpISLCzEIUiHDh1CzZo1Ub9+/WLzIhKJuHzu2bMHrq6uyM/Px8iRI5GTkyORds+ePRKvN2/ejD179uDSpUvQ1dVFamoq+Hw+qlaVfCLs6OgIxWKefjo6OuLWrVu4fv16sXkrLwnxsYiPi4GxaWuJ7camZnjx/EmR9AKBAG+Dg9DT2kZiewuT1jhx1FFi27XL5+HleQ852VmopqePQcPGorZRvbIvxP+B+Lg4xMXGwqRlS4ntJqYt4eP97Ic+M+jVK+gb1ETVqoU98gY1a0K3alW8CngJo2+iespaQnwM4uOiYWwiOTzH2KQNXvgU7TQTCAR4FxyI7tYDJLY3N22D00cduNc9exeGuufn5+Huzctobd4JejVqlnEJihL/nqKL+T21ht/zx0XSi8sUhB7WAyXTm7TGqaP7JLY98bwHDQ0tGBrVhZfHnTLP+/d4H/wcRg1aQV6h8BxWr6k5RCIRPrx9gWZm3X/4s7MzU3H/yt+YsOgA/LzcyiK736VBTTm8jxZA8FUwwLtPAsjwgHoGsggMLzlSokcbRQS9F0BVmYfa1SU7BT7GCNG3vRLCPwsQGS+Cga4MdNRlcDa4/IctBAf6oUGTFlD46jg1bdEaIpEI7974o5V5l6L7BL2Ann4t6FQtfEKsZ1Ab2rrVERzoC0Oj+ggJeoGuVoMl9mtm0gbXXY8jOysTKqpq5Vamt699Ua+xqUTda2TcFiKRCKHBfjBt27XYfarVqA1t3cKhjtX1a0NLVw8hgc9hULsBACAjLRn266dDwOdDRkYGxmad0K3PKMjKyZdbeQAg9LUP6jRqKVGmBs3FZXof/ALGbboVs48vqtYQl6FANX0jaOro4V3Qc6hr6iI/Lwc61SXPd7rVayHA+165lSUxPgYJcdFo/s35vJlJG7x8Xvz5PDQ4EN2sJIcmNTdpgzPHHIqkl7Z3P1D/3pVW/4LE9c/T3QWNjdvC49ZZhL7xQ3pqIozqN8ewCYuhrFJ+v6fvpVxLHyp1DZH4QLI9mHj/Kar1E5dZp0tbZL37iNyoWO79rNCPyPkUDZ2u7ZAR9K7c85lQQv1rbtIGfqW0J7p9c+39uj2hrKwC3aqSw6SVlMQPFzMz0lG9RhkWgJAfVO6dB+/evYOdnR33FFJDQ4MbbtCkSRO4u7tj0qRJ2Lt3Lzp16oTHjx9jzpw52Lhxo0R4jpeXF5o2bYpbt24hLy8PrVq1wt9//41BgwZh0aJFAIDo6GjIyMhg3759SExMRL9+/bBjxw4AksMWAMDe3h6HDh0CIJ53IC4uDk5OTrh//z527dqFzMxMZGdnY8GCBVwe+Hw+1NXVoaCgwG27dOkSGjVqhCdPnnBDMSZOnMi9b2ZmBgsLC0ycOBF2duIwzKtXr3JRAatWrUJMTAxkZWUxd+5cbtjCuXPnEBYWhunTp5f43aalpSE3N5frSPn06RNycnLg7u4uMVzi6/wC4KIpTExMkJSU9G+HsMwlJ4knZ9TUkpybQFNTG0mJRZ/UZqSnQiDgFxnvpaGlhazMDOTm5kBJSRm16tTD6o27oamlDZFIhEced7B84TSst3OUGNpAvk9ysrhuaH1znLQ0tX54gs2k5CRoaWkV2a6pqYXEpPKftDMluaDufVuXtJGcmFAkfYl1T1Oy7hWw37oCQf6+MDSqi1mL1v2SEMOUL9+bRpE8aiOplDJpfHNcNbS0JcqUlBiPu7euYPmGXXjsebf8CvAv0lMTUEVDskNUVlYOKmoaSE+O+6nPvnJ8A3oPnw8l5V/bYNZQ4yEtSzIsU8SArFwGLbWSAwJrVpVBXX1ZHHTLRh+Loh3CPsF8KCnwMH+kGiJihVBX4eHAlWxk5ZZ/CGhqcgI0tXUltsnKykFNTR3JxZzXxfskFqm3gLjuFuxTXBr1L0/5kpPiyrXzIC05ARpaRcukqqaBlKTi6554n6JlUtfQlthn2ITFqFajFmRkZJCSFIeje5YjPCRAYmhDeUhPSYB6MWVSUdNAagm/p/SUeKhr6hbZXkVDB2nJcVCtogUFRWUkxESgXuNW3PsxkaHITCs6mXRZKTifF3fuSy4m6qvw3Fe0PmVlphc5n0tbWnLxx0pVTQOpJdW/lASoaxZf/wr2+fDuFZISYtDKoif6DpsGPj8fB+zmw3nfakxfsqvsC/IfKX4Z1pAXK9kmyItPhJKBHpcmL67o9S0vPolLU97Krj1ReO1t2KRoJIjfcy8oKinDoFb5PlypSES02kKFVu7DFoyNjaGmpgYZGRloa2tj6NChEqHzS5cuRWpqKgwMDNCqVSvY2Njg3bt3yMzMxMePH7l/NWvWxOPHjzF79mykpKTgzZs3MDIy4joOAEBfXx96enp49uwZ1NXVYWVlVeywBRcXF/j4+CA+XnxxWb16NSIjI9GzZ0+Ym5tjwoQJcHNzw4kTJ7B8+XLk5orHoObl5UlMwggAR48eRfv27QEAHz9+RNWqVVGrVuHkfGZmZti/fz+2b9+O1NRUAICNjQ26dRP37m/atAknTpyAgoIC9uzZA0tLSy7yYOHChRAKSx6nGhERgWHDhnFlnDRpEpSVldGgQQOJdLdu3UKnTp1gYWEBJSUlDBw4EO7u7khOTuY6Mb5XXl4e0tPTJf7l5//YmMCv528oUNo4J5li0gOFS7pUqaLOdUjIyMigSzdrdOzSAxfPOf9Q/ohY8cfpx8e/F/d5AH7pmPri6lJpZZKR+b48z/trEw6duYWOllZYPn8CEuNji92vPPzX41TacWCM4ci+bZg4fQHk5RWKTfcrlfTbF/1EPXzh5Qad6rVg1Mjshz/jZ5RU3Uvqb5KTBYZ0VcbZeznFJwCgryuDpkZy2Hk2E+fu5uB9tBCLR6uhca1fM71Rib+TH/ltfbXPv537y5NMCRPTlXqtkvn3ffQMjLj5jLR0qmPi3M146X0fkR/f/kRuv0+J+SvlHFzScRKJRODxeLDs+wfuXD6ExLhIAMCbl48QHvwCVYrpdChr//V8XhGuQd+rpIkRS6t//7ZPVmYaatZuAJM2lgDEofH9hk+H//MHSEspetMrLayY6GGeDO+r94tvH3+d5lcor/YEACTExeDC6cMY8cf0CtWxRf6//dLVFnJzc7F+/XpYWlri4MGD6N27N2rVqgVbW1swxrBy5UoAQFRUFMaMGVPkqd3Tp08RFxeHjIwMqKqqIikpCdWrF50QBwBUVFQwY8YMhIWJx01+HXmQlZUFf39/3L59G+PGjYOSkhKuXbuGFStWYOfOnbh+/TosLS2hpaUFVVVV9O7dGw8ePEBeXh7k5QtDCh8/foxOnTqhQYMG+PTpE16+fMnN5fC1YcOGQUtLi4t6KE5+fj62b9+OgQMHcpEHjDG8e1dy6NWrV68wd+5c7nVaWhqqV69eZP6EPn36oE+fPvj48SPq1KmDK1euQE9PDwKBAHPnzsXnz5+5eRX+zZYtW7jJLAtMn7UIM+aUPNHSt7S/jOVKTU2RmFAmNTW52Alm1DU0IScnj7RUyScYaSkpUFVVg/KXqJa8vLwiwzPq1G2I2zcufXfeSCFtHXGjLzUlRWJyxJTUFOhWLX6yxH+jo6ODkDevi2xPTU2BbtV/n0TpZ2lri/Od9k1dS0tJLnZyrRLrXmoKVFWrQFlFFYC4UVZwvpKRkUF364H458Et3Lt9BSPHlRw9VBYKjlORMv3n31MyV6bs7CzExUbj6IFdXz5LHIWy7q9ZGDNhJuo3Knkm6Z8RG/kObic2ca+r1jCCulY1ZKZJRkgJhQJkZ6ZBU/vHnzBFvPVDfHQ4Dm4az23zvH4EqUkx6DFo5g9/7rf0dWUwrGvhOTkuRYjUTIYqKpLXNxkeoKrEQ0pG8Y1OXQ0ZqCrxMKGP+HynrS4DdVUe5g5TxYnb2UjNYJg6QBVHr2fjc4L4M07fycHnBCFG9FDCuqOZZVamyI9hOHV4B/daz6A2tHSqIf2bp8xCoQCZmenQLua3BQBa2lURFvKqyPa01GRuHy2dqkj/pq4WvNYupn7/qM8RoTjntJV7XV3fCJo61ZCeWrTuZWWmQVun+DJpaldD+NuAItvT05Kh9aVMjDEI+PkS4ehaOtWhpq6FuM8fYWhUNpFy0Z/e4eKxLdzrajWMoKFdDRkl/Z50i/89aWhXw4d3/kW2Z6QlQUtHvE/vYX9CRVUdp/Yth6ycHBq36IAWbbohMS6qTMpSnIJx4empkufvr+vP10o696WnJkPlq/O5NHxb//QMjKCpXXL90yrhN1Vq/ftSZ9U1dVFVT3IFL+0vofIpSXHQ0Pqx63tZKZgQUaG6Lvd/AFCspoucL8MUcj/HQ8uiZZF9FavpcGnK24+2J749n6WVUP+SEuKwedUc9Oo3FNY2w8uhBIT8mF/aeVAgOzsb06dPx9WrV7mn9F/flNesWRNHjhzBkydPEBISgsjISCxYsACtWonD4WxsbGBtbY27d+9y8xYU58iRwgmVdHV1YW9vD0tLS/j6+sLc3Bx//PEH9/769eshLy+PJ0+eoE+fPjAzEz+N6t+/P9atW4fU1FRkZWVJ3JxGRERg5cqVSE5OxpEjRxAeHo4hQ4YUm5cePYqfeIfP5+Pq1atYvHhxkbIEBgZyUQ/fioyMRGhoKPr2LVyuKjExUWKpx38jJyeHvn374uzZsxIRHKVZtmyZxFAOAHgXWfzEPSWpWq06qtcwwJtXLyWGEwT6v4BJy6JLRcrKyqFJsxZ4HfgS7TpYcttfBfiixVfpZ00ejtkLV6HFV2O/4+NjUK0aDRL7EdWqVUONGvoIDAxA/QaFExAF+L9Ey5atS9mzZC1MWuLcmVNITU3hJmH8HBWFxIQEtGxV/k+AdavpieteoJ/EqgKBAT4wbtm2SHpZWTk0bmaCN0EvYd6hcHxpkL8PmpuK65734wdwcz2FTbucJDo8+Xw++D8YlfNfcGV69VKyTP6+aFFamQIlyxQY4AvjL78nFRVV7DpwhnvP494NHLDfjDVb9xX5vLKkZ9gQ01ZIRgq9fHwV105tgVDA58aDh7/xhqycHOo0/rF6CACDJ0l2gv71R1N06Te5zJdqjE4UYc+FLIltbZrIY6ilEmRkCiMQGtaSg1AEhH0u/mlabLIIm08UdgD0sVCEeVMF7rOVFcUdDElpkp0P4Z8FsDIv2xU/DI3qY9mmAxLbHnvcwukjOyEQCLgIvTevfCEnK8dNdvitpi1aw+28E9JTk7mhCLGfI5CcGIfmpuJleJsYt0ZI0Av0HjiG2+91gA/qNGgKVbWiKy79KIPaDbBwveTkfs88b8Dl6DaJuvc28DlkZeXQoGnx56vGxm1x48IhpKclQ11DXKa46AikJMaiqYl4LqR/7rji+aObWLzxGLdfTnYmsjLToFOt6BLUP0q/VkPMXnNMYpvPo2u4dNxOokyhQc8hKyeHek2K/z01aG4O94sHkZGWhCoa4pDr+OiPSE2KRWMTceSljIwMuvYbj679xJ1xAn4+ti4ejDEzNpZZeb6lW1UP1fRqIjjQT2KlhNcBPjA2NS+SXlZWDo2amSI40A9t2xfO7RAU4IPmpkXPlb9ScfXP+59S6l+T4utfo+Yl178mX+qfoVEjxMVESOwXHyOOGNGtXv7z9Pyb3MgYZIVFQKdzW6T7FT5s0O1ugcS74nl8kjyeocHKmVCoqs1NqqjawAjKtfSReLf8J/0GCq+9wd+0J4JKaU80amaCN0F+aPtNe8LYVLLtGxXxHru3LMOQUZPQsas1Ql77i4974+blV6AK5FdElZEf90tWWyhQEDIVHBwMOTk5iRtq0TfhOufPn4erqysX1vf06VPMnTsX+fn53LwIBXMWfK/Q0FCsXLkSW7ZsgYGBgURD/9GjR/Dx8UG3bt1w6dIlODg4QCQSoUWLFrh48SK0tLSQmpoq8VR/9OjR4PF40NHRwadPn/D48WMMGlTY8OTz/32Sqr59+0JfXx/z58/nhnIUDFtYtGgRli1bhsjIyCL7OTg4YNiwYahZs/BEHxsbC13dfw8RFAgE8Pb2hrOzM2bNmoUdO3Zwcx88evQIERERJe6rqKgIdXV1iX9fT5D1vYaNssWtG5eQnpYKAPB/4Y3YmCj0HzQSALDbbg1uuBWuvDBkxHh4ed5DTLT4KcbH92Hwf+GNoSNtuTRNmpvi7IlD3DCKD+Hv8PDuTQweUdhJRP6bkaPH4vq1q0hLE3cQ+b3wQUx0NAYOFs+zsW3rJrhdKRrZwRhDbm4u8vPzJbY3a9YczY1b4PzZ01y6c2dPwbJrd9SqVbucSyM2ZORE3Ll+kat7AX7PEBcThb4DRwEA9m5bhZtuhasUDBphiyeedxD7pe5FfAhFgN8zDBk1AQBQt0ETxMd+huf9G9w+Xh7uiI78CMue/X9NmUZNhPuNr8r0wltcpkHiMu2xW/1NmcbjsefdwjK9D0XAi2cYMnJCsZ9fcH7+9jz9KxibW0NNXQeP3cUrqwj4+fC4dhid+0yEipomACA8+DkObBiLrIyUIvvn52VDwC+9E0ckEt+w/8xwnP/C7y0f6dkMXVuKh4TIyQK92irinm8et/xig5qymDdcFaolrL7A40kOccjJA4I/8jGwsxLkvkTFKikA/Too4dnr8p8w0bxDD2ho6ODONfEs43x+Pq67OqP3oLFQqyLu1A4OfIFNy6YgIz0VANCwqSkaN28JNxfxTRNjDFfOO6G9ZW8Y1KoLAOgz6A+8ff0SYW/F67snJ8bh0f1rGDq2/JcUbt2+F9Q1dXD/xhmuTLcuHUWvAeOh+qVMb4N8sH3lBGSmi+te/SYt0aCZGW5cOMSV6fqFgzDv3Bf6huLJe+s2NMbHsNd46f0AgPhp8vmj29DMtD3qNDAu1zK1tLBGFQ0deN4Sn4MF/HzcvXIE3frbQlVNXKbQ1z7Ys2Y8V6Z6jVuhXtPWcL94kCvT7YsH0LpTP+jVLDohcUxkGA5unYm2XQagTiPTci3P4FGTcPfGBa5OvfpyPu8zULzqx77tK3Db7SyXfsDwCXj6jztio8XtqogP7/DK7xkGjZxU5LPzcnN+SQdwScwseqHKN/Xv9uWj6GUjWf92fFv/mprhpmth/bvxTf3rYfMHQt/44bW/eELC/LwcXDu/H+269INaFc1yLZOsqjhySkapsN3Ik5dH21tHUWNob25b6EZHGM0cC3kd8UMG3Z4doVKvNrdaQ8rjF0j+xwcNVhRGiTVY+SeiTrshM/jXLbs7eOQk3Lnu+k174jP6fql/e7etklh5YdCICV/aEwX1T9yeGDyqcK60lz6PcXjfFsxftgUdu1oDAMJDg8s00oqQn/FLIw/k5eWho6ODPXv2YNiwYfDx8UGNGjXQokULNGpU+ARaIBDg9u3buHTpEvbv3w9AfKNesGpBp06dYG5uDh6Ph127dkk8CX/z5g3S0tLw5s0bZGRkoEqVKgDEJ9B69eqhQ4cOsLKywpYthaF8np6ecHJywq1bt9C+fXvs2LGDmzdAIBDAxkY8y39oaCj09IqG9YWFheGff/6BmpoaunXrhvHjx8PS0hLTpk1Ds2bNJNJmZmZi6tSp+Oeff7Bq1SqsXLkSCgoKcHd359IUDFswMjIq9nt8+vQprl69Ck9PT6SlpUFDQwMCgQBBQUEYO3ZskfRJSUnw9fXF3bviSc/Gjh2LCRMmYMSIEVBSUkLv3r1hY2OD69ev4+HDh6VO0lhWunSzRm5uDtavnA9lZRXIyclh9SZ7bs6CqMiP3NI3ANCsRUtMn70Eu+1WQ0lJBSKREItXbEIto7pcmj/nLoPLmaNYvXQWZGRkIScnh0XLNqJx01+3FNHvplv3nsjNzcWqFUu447Rx8zZu0sPITxFFhuNcueSK+/fvIj09Dfv27kaz5sZYtGQZ9/6y5atx8IAj5s+ZCfB4aNykKSZMnPLLytSpW2/k5uZg86q5UPpSphUbHUqse02NW2HKrL+wx24llJSVIRKJsGD5VhjWFjfEqlargbV2B3D+5EE8engb/Lw8qKqpY932gzCsXbfYPJS1zl9+T5tWFpRJHis37eXK9LnI76kVps5eCnu7VVBSEpdp4YotMDQqmt/kxARcdRXfaLi5nsSg4eOLpClPcnIKmLjkMK4cX49AnzsQiYRoYmqJ7l8NLchKT0J8dDjycrOhWkVcN7MzU3HSfg5iIt8hLycT+9eNQs/Bs9HAuH2Rv3H1xGYAgNftE2jZoT/k5Mp3ngehCHC8mIWRPZRh2lAesjwg8L0At54V3qioqcigho4MFBWArG8C0Ax0ZdC+uQI01GTQurE8fEPEnQNO17PRu50S5o9QRb4AkJcFXr7j44GfZCdeeZCTl8eitXvhfGArfJ88gFAogGnbThg4YjKXJj0tGZ8jPyA3JxtV1DUBALOWbsXJQzuwZsE48Hg81G9kjOG2s7l9atSsjXkrd+L04V2Qk5cHn5+PP6Yu5iITyrtMc1btx5lDm+D39B6EIiFatO6MfsOmcWky0pIRE/keubnZUFMX171pi3bgnNNWbFoyGjwAdRuZYMgf87h9DOs0xtxVf+Pquf24d+0UcnMy0ah5G4yesrz8yyQnjxnLD8LFaQP8n92FSCRAs1aWsB5aeN3PTE9CbJT491RQponzd8L12BbsWDYCAA91GprAZkxh2ys1OQ7Oe5aAn58HLd0a6DVoKho0L/+n+R279kFuTg62rJrFnfuWbdjHTYr4+dNHLqoFAJoam2HSn8vhsG0Fd+6bt9yOO58X2Lp6NiI/hiEtNRmrFoyHVf8R6Ni1T7mX52ty8vKYs3I/zh7ahJfP7kEoFNe/vl/Xv/RkxERJ1r+pi3bgvNNWbF4yGjweULehCQZ/Vf90qupj9op9uHJ6L66ecwQYQ8NmrdF/RNkN1ypO4y2LUb2/eHWcNlcOIO7afQQvsYOMgjyqNKkPpZqFof6fT7tBVk0F5u7HIMzIgiifD28rW+THFw7jeDFiDprvWYUOzy4CjCHl2UuE/LW9XMvwrYL2xJZVc7j2xPKNe7kJiT9HfijSnpg8axn22q2EkrK4Lft1e+LRg1s4sGcj6tZvjGMHxEPDRCIRYqI/cQ84CJE2Hitt1pUyFhERgbVr1yInJwfHjx8HYwwnTpzA9u3bYW5ujs2bN6N27do4fvw4dHR0EB8fD1dXV1StWhUnTpzA1atXsXr1aty8eRP6+vr4+++/MWfOHNjb22PmzJlwcnLC+vXr4eXlhdjYWIwfPx4WFhZo0qQJlixZgl27dsHQ0BACgQA5OTnIycmBjY0NXr16hYULF8LBwaHI8IKrV6/i9OnT8Pb2RkREBOzs7LBkyRLu/YcPH2Lbtm3Ys2cPateujfXr18Pe3h7Z2dlQVFRE9erVoaOjA3V1dSgrK+PChQvYvXs3hg0bhsaNG0uEeBZQUlJCSEgI1NXVYW1tjZMnT3KdK97e3tiyZQscHR1hYGAAX19frF+/Hr6+voiJicHDhw9haWkp8XlWVlZ4+PAhRo0ahblz53LDPwrk5eVh6NChCAgIgFAoxKNHj1C37vff9LwK/TVr2f9KLRr8fj2878I/STsLZS5TKL0xquWFx/v9wvU+phRdYaOyu+9VdnMIVCRjf+390S+RK5D+pJ9lLVdQ/KRrlZmOcra0s1DmMvPLdshQRZDdylTaWShzeq+fSjsL5cKsofa/J6qARv9VfnOl/KwzW6U/tEfafknnwf379+Hn54eYmBiMHj0arVtLjquLi4vDrFmzYGpqihUrViAmJgY1atRAeHg4BgwYgK1bt0JZWRmXLl3CunXruNB8Pp+Prl27olevXhg+fDiuX78OIyMjbunCpKQknDx5Ej4+PoiKikJSUhJSUlK4JQ4DAgK4yAA+ny8x78LX+Hw+WrVqhW7dunF5AcQrLTDGYGtrKzF7b2ZmJm7fvg0vLy+8fPkSwcHBMDMzw+HDhyWGGQDizofVq1eXOPsvIF6xYefOnXjy5Ak+ffqEESNGSAy5SE1N5b67KVOKPsF9+/Yt5OXlS+0QYIzh0KFD2LNnDyZNmoSFCxeWmPZb1HlQOVDnQeVAnQeVA3UeVB7UeVA5UOdB5UCdB5UHdR6UPeo8+MWRBz9KKBQiNDQUjRs3/vfE5JejzoPKgToPKgfqPKgcqPOg8qDOg8qBOg8qB+o8qDyo86DsUeeBlFZb+K9kZWWp44AQQgghhBBCfmNMCpMzk+/3S1dbIIQQQgghhBBCSOVDnQeEEEIIIYQQQggpVaUYtkAIIYQQQggh5PcmEv1+cz/9TijygBBCCCGEEEIIIaWizgNCCCGEEEIIIYSUioYtEEIIIYQQQgiROsZo2EJFRpEHhBBCCCGEEEIIKRV1HhBCCCGEEEIIIeXo06dPsLGxQbt27dCyZUssXboUAoHgX/dLTk7GypUr0bZtW7Rv3x5r164t/8yWgDoPCCGEEEIIIYRIHROxCvvvZ+Tl5aFXr15o164dnj17Bm9vb/j4+GDp0qWl7hcREYHOnTujdu3a8PT0xJMnT6jzgBBCCCGEEEII+R2dO3cOnz9/xoIFCwAACgoK+Ouvv+Dg4IDk5OQS9xs/fjyWLFmCKVOmQFlZ+Vdlt0TUeUAIIYQQQgghhJQTDw8PdOjQAUpKSty2bt26QSgU4tGjR8XuExAQgKdPn0JPTw+9e/eGubk5LCws4O3t/auyXQSttkAIIYQQQgghROp+dnhAecrLy0NeXp7ENkVFRSgqKv7rvtHR0ahRo4bENjk5OWhrayMqKqrYfZ4+fQo5OTm4urri2rVrkJOTg7OzM3r27Ing4GAYGBj8eGF+EEUeEEIIIYQQQgghpdiyZQs0NDQk/m3ZsuW795eTK/65vUgkKnZ7cnIysrOzsW7dOm7f8ePHw8DAACdOnPjvBSgDFHlACCGEEEIIIYSUYtmyZdycBQWKizoIDAzE7NmzudeNGjWCgYEB4uLiJNIJBAIkJyfD0NCw2L+np6cHFRWVIhELtWrVKjFaobxR5wEhhBBCCCGEEKkTseKfwlcE3ztEwdjYGB4eHhLbTp06hblz54LP50NeXh4A8ODBA8jLy6Nz587Ffo6pqSmys7MRGxsLPT09bnt4eDisrKx+vCA/gYYtEEIIIYQQQggh5WT48OGoXr069uzZA0A8f8KWLVuwePFiaGtrAxBPqtipUyckJiYCAFq1agVra2ssWbIEQqEQAPD3338jNTUV48aNk0o5qPOAEEIIIYQQQggpJwoKCnB3d4eHhwfatWuHDh06wNLSEuvXr+fSxMfH482bN8jMzOS2nT59GjweD6ampujQoQPc3Nzg6ekJXV1daRSDhi0QQgghhBBCCJG+irzaws8yNDTE9evXS3x/+PDhGD58uMQ2bW1tODs7l3fWvhtFHhBCCCGEEEIIIaRU1HlACCGEEEIIIYSQUtGwBfLTdEWx0s5COagm7QyUuYCEmtLOQplre3SwtLNQ5pIWOUk7C2XOUtFL2lkoc9WszaSdhXKhJJsj7SyUORMfB2lnocy9t5gk7SyUuS3Hfr9Q5YigQGlnoczZv34q7SyUudhmFtLOQvngv5V2Dn7I7zxs4XdAkQeEEEIIIYQQQggpFXUeEEIIIYQQQgghpFQ0bIEQQgghhBBCiNQxRsMWKjKKPCCEEEIIIYQQQkipqPOAEEIIIYQQQgghpaJhC4QQQgghhBBCpE4kEkk7C6QUFHlACCGEEEIIIYSQUlHnASGEEEIIIYQQQkpFwxYIIYQQQgghhEgdE9FqCxUZRR4QQgghhBBCCCGkVNR5QAghhBBCCCGEkFLRsAVCCCGEEEIIIVLHGK22UJFR5AEhhBBCCCGEEEJKRZ0HhBBCCCGEEEIIKRUNWyCEEEIIIYQQInW02kLFRpEHhBBCCCGEEEIIKRV1HhBCCCGEEEIIIaRUNGyBEEIIIYQQQojU0bCFio0iD8pRamqqtLNACCGEEEIIIYT8NOo8KEcTJ06ElZUVBAJBse/n5uZiwoQJCA8P57YFBgaiZ8+e8PLy+uG/KxAIkJyc/F1pHR0dsWvXLmRlZf3w3yOEEEIIIYQQ8nujYQtl4ObNm3j69CkWLlwITU1NbruMjAwsLCwgJyf+mnfv3o2pU6dCVVUVAODu7o4TJ07AxsYG9erVAwA8e/YMXl5eqF27drF/KyYmBu3atUOdOnW4bbGxsTA2NsaZM2cgLy+P/fv3Y+vWrXj06BH3uSVxcnLC4MGDuTz+Sm433XHjzn0oKSlCJGKYNcUWjRvULzF9dGwcnvn64dK1m1g0azpMjZtJvP/qdTCcTp6FUCRCdk42WrZojmnjx0JBQaG8i/LbS02KxvUTG5GZkQQhn4/6zdujx9B5kJUtud6IREKEvnqEIJ87SE+JxYQlR4tNFxr4GN73zyAtOQby8koYPnMHNHX0y6soAAC1LtZQ69QTLC8P4PGQct4J+RFhxabV6DscysZmYHx+4UYeDwqGRoj6aypYThb0lm8Hy88HWGGonayGFvI+vEPSsT3lWpYCd29ewgP3q1BUUgZjIoybPBf1GjYtMb3344e46noSCopKyM/LxbCxU2Fq1o57XyAQ4KzzfkRFvEdmRjqUlFUwduJs1Knf6FcUBwBw8Y4H3O4/grKiIkSMYf74EWha36jYtAKhEGeu3UVASChS0jMgEjFMHzkQ7UwlzxO5eXm4cPsh/vHxh1AkQkMjQ/w19Y9fUBpJSQkxOH14G9LTkiHg89HMtB0Gj5lZ6m8qMyMNZ4/uREzUBzCRCLXrNsbIiQuhpKzCpQkN9seNi8eQn5eD9LQUmLXrhgEjp0FGpnyfFdy5eRn33a9BSVEJIsYwfsoc1G/YpMT03o89cMX1FBQVlZCXl4sRYydL1L+vvX7lhw0r5+Hc1X/KK/vFcnnxFpdehkFZXg4ixrC4V2s019ctMf3ww9dRRVHyetOtsSHGtC38HpweB8LnYxyy+QKIRCLMsmyJdnVrlFsZvnX7hhvuul+HkpISRCKGiVNnoUHDxiWmf/rYE5cunOGO06ixE9GqtTn3/uJ506CooAieDI/blpKcjAaNmmDuwuXlWpav6WjIYnx/DairykBOjofAsFxcuJsBkajkfTq1VIZ1BzVk50gm2nUqGTl54nP51CGaqKopK/F+QooQhy6llnURilVNVxHzp9WDloY85OVl4PMyBYdPfYSwhHIpKMjg+J5WSErOB/vqelSjuhJuP4yH05mIIvvsXt8cr96k49i5T+VVDADia9RDdzfuGvXH5HmlXqOec9coReTn5WHY2CkwMbPg3k+Ij8HF00eQlpaCxPhY1KpTH39MngtNLZ1yLcfX1Jo1QPU+ljCaNQ5POo9ETsTnUtPXmjYKtSYNgzArB5CRwZuFm5HmG8i9L6+lgaa7lkOtcT3wZHhIe/kGbxZugTAru7yLUqGIWCk/XCJ11HlQBvr06QMnJyd07twZJ06cwLx58wAAr1+/hq+vLzw8PJCbmwtvb288efIEFy5cAACcPXsWc+fORfv27eHv7w9TU1Pcu3cPY8aMgaGhIXJzc+Hv74927QobVPLy8vj06RNu3LjBbTt16hQSExMhLy+PxMREbNy4EVu3buU6DlJSUvD69Wt07NgRbm5usLCwwI4dO9CyZUvIysqidevWePjwIfh8Puzs7LBjxw6Jv1kebt9/iNOul3Fwlx20NDXg8zIAi1dvxFGHnaiqW/yJPyY2Dnw+H+kZGUXe+xDxCYtWrce6ZYtg0cYM+fn5WLlpGxyPHMf8mVPLtSy/OwE/H8e3T4ZphwGw7D8NAkE+nHdMxR2Xneg9ammp+yVEv4eAnwuhsPjomweXHfEp7CX6jP4L1QxK7jgqS6oW3aDReyhiNi2EKCMNSk1NUW3eWsSsmwthalKR9DKqaojdKllOjT7DkPXsIVhOFhRq1UPG/evI8vYsTCAnj+pzVyPF9Xg5l0bM894NXLlwApt3H4WGpjZe+Xljy+r5sNt3Ejq61YqkDwrwxSGHLdi48whqGNTCp4/hWLt0OlZuckDd+uIbiQunD6NJM1P8MWkOAOCKizM2r54Hx2NXoKCoWO5luu7xBM6Xb+H41hXQ1lCHd8BrzN1kj9M71qCajlaR9EcuXEPjurUxbqA1AODBsxdYvM0RR7csR4PaNQEAGVnZmLNxN7qat8Lu5XOgpqJS5HN+BT4/HzvX/Yn2lv3Qb+hECPh87Fo/CxdO7MXICQtK3G//tsWorl8bq7efBGMMR/ashtPeNfhz6XYAQHpqMm5cPIoZi+ygqKSM9NRkrFs0BkrKqug9aFy5lcfj3k1ccTmJLfZO0NDUQoDfc2xeNR/bHU+UUP9e4MDerdi06xD0v9S/1UtmYvXmPVz9K5CdlYn9uzeBlXYXWA7cAsLh5BWEs5P7QFtVGU/CozHjzH24Tu2H6uqqxe7TqLoWNth0KPEzXV+8g5K8HA6M6QEAuBn0AXNdHuLKjAGooVH8Z5alB3dv4aLLKWzfcwiamlrw9/PB+pWLsHv/UegWc5wCA/zguGcbtu0+AH0DQ0R8fI8Vi2dj3eZdqNegEcJD36KfzRB06daL2yc/Pw8bVy/F+InTy708BeRkgaUTtOH1MgdXPTMhKwssGa+DkVbqOHMrvdR9T91IQ/CH/FLTbHIqel34FeTleNi1rjncH8bjpGsk5OR42LGmOaaPrwPHYx+K3cfCTAtb9r5DYHBhuTXV5bFhaROcco0skn64jT5am2jh1ZvSv6ef5XnvBtwuOGPT7mNfXaPmwW7fqWLPEa8DfHHIYTM27HT6co0Kw7ql07Fi0z7Urd8Yebm5OHFoNybOWAwtnarg8/PhuHMtdm/+C2u3HQKPxysmF2VPrWEdMIEQSvpFy/CtmuMGof7SafAyH4z8hGTo9ugA85tO+Kdlf+R+jgMAmLk4IDP0Ax5bDAUAmBzfBpOjW+E3Yk65loOQ/4KGLZSRiRMnolq1ajA2Nsa9e/fg4eGBLl26wNbWFh4eHnj27BkYY1zHQWRkJAICArBx40acOHECVlZWiImJwa1bt/D06VNYWlqiXbt2aN++PXbt2lXk7ykpKXH/5OTkwBhDXl4exo0bh8OHD2PixIlc2szMTHTr1g2WlpYYMWIEDh06hO3bt0NFRQVr1qyBQCCAQCAAYwyPHz/GqVOnyv37OnHOFf2tekJLUwMA0KalCWobGuCC2/US9zEzbYERg2ygUkyD3+3WHTRv0ggWbcwAAAoKCphm+wdu3nuA5JTUcinD/4tX3jeRnhKHDla2AAA5OQV07jsFz+6eRnZmaon7KSgqo2OfiWhg3KnY998HP0eg9038Mf/vX9ZxAAAa/YYj8x93iDLSAAC5b/zBj42Ceg+bYtNnet2TeK1QpwEU6zXmtgsz05D9ylcijdZQW2Q+usv9jfJ26dwxdLceAA1NbQBAi1bm0DesjZtu54pNf/n8cZi374oaBrUAALWM6qFl6/ZwcznBpdGtpofW7Tpzr83MOyIzIw1JSfHlWJJCR12vY2CPztDWUAcAmJs0g5GBHs7euFds+uj4RFi2bcm97tbODA2MauLB0xfctt3Hz6OjmQnGDewttY4DAHj+yB0pSQmwshkDAJCTl0efIba4f/M8MkuoM2+DXuDtaz/0HzYJAMDj8dB/2GS8ePYAURGhAIDUlET0GzoZikrKAAB1TW3UbWiMyI9vy7U8F88eQ3drG2hoijt1TFq1hYGhEW5cOV98+nPHYd7BEvpf1b9WbSxw2eVkkbRHD+xG42Ym5Zf5Ehx69ApDWzWAtqr4u2xfTx91dDVwyjv4hz+Tx+NhZOvCyB3LhjWRJxDiY9KvOU9cOHsCvXr3h+aX42Taqg1qGtbGtSuuJaa36NAF+gaGAIDaRnVh1qYdLrqcBgCoa2iidVsLiX2cnQ6gu1VfaGppl2NJJFm0UIaWuixuPc4EAAiFwLV/MtGrnSpUlX/NTWR56N6pKqrqKOC8WxQAQCBgOH0xEkP66qOKWvHP/j5GZuPNW8mOgL9mN8Chkx+Rly/ZAVenlgrattRCXEJu+RTgK5fOHUV364ES1ygDw9q4VeI16hjaSlyj6n+5RjkDAELe+KNNe0to6VQFAMjLK2DYmKkIDQlCfGzpT//LUuzlO3i/u/ioym81WPEnPh0+j/wE8bDixHuPkRkSjjpzbQEA2p3aQLtzG4Rt/pvbJ2zTftQYbIUqzRuWed4J+VEUeVBG+vbti969ewNAseGh+/btQ7Vq1TB8+HCkpKRgxowZWLNmDaKionD48GHs378fV65cgaWlJa5evQoACAgIgKmpKfr27ct9Tm6u+CQ/fvx4hIaGomnTpvj8+TNsbGzg5OQEBwcH1KtXD8HBwWjSRBwqyePxoK2tDQ8PDxgZGaF169ZcnguGK+Tn53P5Hjp0aDl9S2Kx8QmIiYuHmYmxxPZWJsZ4+vxFCXv922fGo4ZedYltBvp6EAiEiIiMgraW5o9m9//eh+DnqN2gFeQVCp82121qDpFIiIh3L9CkVfcf+tynd06gccuucD+/AzGfQpCVnoQGLTqj57B5kJMrn6EmstpVIV9VDznBARLbc4MDoNKiTbH78KO/CuXk8aA9ejqSTx/gNgmTEyXSK9SqC6WGzZBy7nDZZbwUCfExiI+LhrGJZP6NTdrghU/RuVMEAgHeBQeiu/UAie3NTdvg9FEH7nXP3oO4/+fn5+Huzctobd4JejVqlnEJiopJSEJ0fCLaGkuGvbcxbgKvF6+K3ad186Kh1ypKSkjPFM/nkpaRCXcvb2xdOAMLt+5DemYm8vh8TBsxAB1atSj7QpQi5PULNGhiIvGbamLcBiKRCKFvXqKluWWx+1TXrwVtXT1um55BbWjrVkfwKx/UrN0AtepINjAj3ofgY9hrTJm3sdzKkhAfi/i4GBibtpbYbmzaGi+ePy6SXlz/gtDjm/pnbNIaJ486Smx77HkP6hqaqGVUD14ed8o+8yWITs3E59RMmNeRHE7QzkgPnqFRJe4XFp+K6afvIZcvgLKCHKyaGmGAST3uKeiQVg24tAKRCGd9QtBcXwdmtaqX9JFlJj4+FnFxMWhhaiaxvYWpGXyfPymSXiAQICT4NXr17l8kvbOT+OamajXJfIeHvcOboABMnv5rn5I2qaOI0Ih88L8KcHvzPg8yMkAjI0X4BZd8czzKWh1ZOSIoKcrgczwflx9mIilVKJFmia025GR5kOEBwR/ycf2fTOTxy382+JbGGggMTkf+V3/L71UqZGR4MGmqDq/nRee2iojKkXjdyVwHMjI8BIZIdijIyfGwYFp9bNj9Fvs2l+/5LyE+Bglx0Wj+zTWquUkb+JVyjepmPVAy/VfXKGVlFehW1ZN4X+lLp2lmRjqq/7qRQN9FuZY+VOoaIvGB5G8t8f5TVOvXFQCg06Utst59RG5ULPd+VuhH5HyKhk7XdsgIevdL8yxNtNpCxUadBz8pOTkZeXl5ePLkCZycnLB+/XosWrQIgOSwBUA85MDKygo+Pj548OABqlSpgjNnzsDCwgJ9+vSBlZUVF5kAAPwvY6yrVq3KvdbS0sLdu3fRo0cPdOrUCXPmzMGAAQNw8OBBmJqaol69evDz84O5uTmuXr3KdWgU58mTJ3BwcEDHjh2xceNGPH36tJy+JUlJXyZz/PaGXktTEwlJPxYeqFetGj5ESI7Xe/9R/Dol7dc81fldZaTGo4pmVYltsrJyUFbTQFpybAl7/bvI8ADEfArByD93o8+YZcjJSsdRO1vccdmFPqP/+tlsF0v2y1MPYXqqxHZheipkv2OcpGr7bhBlZSD/Y2iJabSGT0La7Us/lc//IuVL58W34zw1tLSRnJhQJH1GeioEAn7R9JpayMrMQG5uDtcIAwD7rSsQ5O8LQ6O6mLVo3S8JB038Ei2krakusV1bQx3xSSnF7mPTraPE69T0DAS+C4d1Z/EQrDfhHyEUinD7kTc2zJsMFSUlvAgKwdxNe+C0eRka1alV9gUpQWpyAjS1JMfOy8rKQVVNHcklRHakJidAQ7PoeHt1TR2kfLNPoN8TuBy3R2JCNEbYzkfDpi2L7FdWUpJKqH+aWkgqtf5JPpnW0NKWqH9JifG4d+sKlm/YhceexUeblJeETPENmI6assR2bTVlxGeUPPZ408COqKsrjqb7kJiGxRf/QXhCKhb2lOxYsXP3we3XH6Cjqgy7wZ2gICdb3MeVqZQv11atb753Ta3ij1N6elrxx0lTC5nFnCcA4NihfRg0bPQvCxkvoKkug9QMyafqIhGQmSOCtnrJAbaBYXnwfZOLnDwGGRmgTwc1bJ5VFcsdEpCUJu5AuPIwA0mpQghFgIoSD5MGamLZJB2sP5RY6nwKZUFXWxFJyZJDKoQiICNTgKq6/z50TE6Oh5kT6mCTfdHIo6ljjXDldgziE/PKLL8lKbtrVOE5omGToh0efs+9oKikDINadYq8J22KX4Y15MVKPmzIi0+EkoEelyYvruj3kRefxKUhpCKgYQs/SVtbGzVq1EBwcDBSUlJgbGwMDw+PIsMWPDw8kJ+fj6CgIPTq1QtxcXHYvn07UlJSsH//fpw/fx5OTk44evQoIiPF49Ly8sQn9YLoAFdXV/Tp0wfr1q2DpaUlZGVlsXfvXlhaWuLcuXPYs2cPwsLCYGtri/Pnz5facQCIIyQSEhIwd+5cpKSkwMjI6F/Lm5eXh/T0dIl/efmljxcsiaxs0QbT1xP8/BeD+loj+G0obt/3AAAkp6Ti4lXxvBAUdfDzZGSKb9z+6PECgJzMNNRv3gE164ojUJRV1dG572T4PDwPUXm3yoTCotu+o8GrYTUImV53S3xfoW4jKNQ0QvaLok/yyptMsb+nkr/HEo/pN9/9vL824dCZW+hoaYXl8ycgMf7HO4z+K7liyiT6jjrHGIPd4dOoV8sA1h3bAgAXgTCyb3eoKCkBAMyaN0Zr48a4fNezxM8qL8UdL+BfjlkJ+3w7uZRxq/bYsNcFG/degNeDq7hwYu+PZ/Q7FX8+L7ksxaUHxE+cGGM4vG87JkxfAHl56U14KydT9JxQWv0r6DgAgDq6GljR2xynvIORniN5g7bUqg0eLhiOWV1NMfGEO15H/7ox9cXVodLKVNpx+trb4Nf4+DEcFh26/FwGf5CohCeVpXVkpGaIuIkRRSLg+qNMfPjMh3WHwvkn4pOF3OSE2bkMhy6mooauHEwbKZVd5kshLKFcMt9xvepioQuBgCEoRHKeKNPmGtDSlMf9R0VvVMtTeV2jACAhLgYXTh/GiD+mF+nUqkhYMauvfT3ZKBMU0zb5Jg0h0kaRB2VIUVERhw8fhqurePzgt5EHBdEJHTp0QEREBGxtbTF37lw8evQIOjo6qF+/Pjp16gRzc3P4+vpynQfy8vIAgFGjRmHgwIGoWrUqXF1doaamBgC4evUqAgMDYWtri0OHDuH27dvQ0tJCXl4eFMt4YrMtW7Zg3bp1EtsW/DkdC2fP+O7P0NURP8lITk2VmBwx5ZvX/0Vtw5qw37IeJ8+74trtO9CrXg39e/fEY28f1DMqfuUKUlRs5DtcP1UY4qyrVwfqWtWRmS7ZuBUKBcjJTIOG9o/3hqtp6EKnuuTTXg2dGuDn5yInMxWq6mU/ZrZgQkRZdU2JyRFl1TUhTCm9Aa9YvynkdKohJ7DkoTVVOvZETqAvUMIEkeVBW1scFZKWmiwx8VRaSjJ0dIuGQ6traEJOTh5pqZIhr2mpKVBVrQJlFXHDmTHGNbxlZGTQ3Xog/nlwC/duX8HIceU7GVpVbU0AQHJausTkiMlp6ahezGSJX2OMYduRM4hJSMKeFXO5zledL/Or1NSTnNhKT1e7xGiGshAVEYrTh7cX/j2D2tDSrob0b75/oVCArMx0aBdzzABAS7sqwkICimxPT03ihjJ8fcwAQKdqDQwaNQO7N8zBgBFToaBY9jc82jriaIgi9S81pdiJ0Arrn+R3npaSDFVVNSirqCA7OwtxsdE4dkA830/ql+9q3V+zMGbCTNRvVPIM7WWhWhXxfBhJWbkSkyMmZ+aUOFkiXygCjwfIfTVssbGeFhiAiOQMGBsoFjk+lg0N0b6uPk56v8HWQcXPDVNWuOOUkiIxOWJqSgp0dasWSa+hoQE5OXmkfnucUlO44/S1e+43YNbGgmuvlJea1eUwvl9hJ01MogAp6SKoq0neaMrIAGrKMkhOK/5mDADk5SAx1AEAImL4MKgmV2KaPD5DXJIANXTLtvlct7YK5k0pXB3r0+ccJCTlQUtD8vuUlQGqqMl9V8RA/556+OdZYpHtps00ULOGMvZuFHfca2spoHe36tDSkMeug+FF0v+sH71GfXuOTEtNhspX16gCSQlx2LxqDnr1Gwprm+Flnv+yUDAhokJ1Xe7/AKBYTRc5X4Yp5H6Oh5ZF0SgxxWo6XBpCKgLqPChjs2bNwqxZswCI5w5o3rw51q5dCwBQU1ODra0tAMDZ2RkJCQnw8fFBnz590LNnT/B4PLRv3x55eXl48aLwBuXrDgB5eXlkZWVhw4YN3EU6OjoazZo1Q9u2bblogzlz5uDVq1fc/AmMMaSmphZ5opuYmIgrV658d/mWLVuGBQskZwNPivhv47CqV60Kfb3qCAh8g0b1Cy+WfgGBaG364xNjNW3UAFtWL+NeHz11Dr26dUGVL50s5N/pGTbE5GUnJLb5P76KG6c3QyjgQ1ZOXOfev/GGrJwcjBq1Lu5jvkuNWo2RHC85+3NS3CcoKquVS8cBIJ6fgB8fA8VGzZH/qbCRpNTEBDlv/EvdV7VNR+SGvgHLK2H8LE8GKmbtJeZD+BV0q+mheg0DvAn0k5ipPjDAB8Yt2xZJLysrh8bNTPAm6CXMO3Tltgf5+6C5qXhMqvfjB3BzPYVNu5wkbnb4fD74+eUf5qqnq4Oa1avixeu3aFy3sPPPJzAYbU1KvnHM5/OxwfE4AODAukVQUlTEqavuGGtjhTo19SEnK4vPsQnQUq/C7RMVm4A6NctvadCatRtg6cZDEtueetzEGacdEAj4kPvymwoO9IGsrBwaNm1V7Oc0Nm6Dqy5HkJ6aDPUvw29iP0cgOTEOzUzFQzPWzB+JgaOmo5V54XHl8/PBmAgCAb9cOg8K6t/rVy8l65+/L1qUWP9a4HXgS5h3sCxMH+AL45bi+qeioordB05z73ncu4m/7TdjzdZ9ZZ7/4tTQUIWhVhX4RsShaY3CDu1nH2NhUcKyivs9/RGfno1NAwuHz3xOy4IMj4caGqoI/JyAJRcf4fIMGyjJFza9+ELRd0XT/Kyq1apDr4Y+ggL9Ua9B4aSNr/xfwLRV0fleZGXl0LSZMYJe+UtEE7zyfwGTlpLnfaFQiCdeHpj65/zyK8AXUXGCIqsfdDBRxth+GpCVARcl0LSuIgRCIORj8ecrRQUe/l6uhxX74hGTWNjBoKspi8Qvcx60aKAIWxsNLNodzw1R4PEAbQ1ZJKaUbQfx+4hszFkZKLGtV5eqmDO5HmRleRAKxXWkVQtNCIQM/q9LH46pqSGPlsYaxS7NePz8Jxw/XzjM0+VQG9x6EFduSzUWnCOCv7lGBZVyjWrUzARvgvzQ9ptrlLGpZF2NiniP3VuWYcioSejY1Rohr/0hKyuHBo2bl0tZflRuZAyywiKg07kt0v1ec9t1u1sg8a54bpgkj2dosHImFKpqc5MqqjYwgnItfSTeLTo3xO/sV6+uQ/4bGrZQzjIzM7Fp0ybMnz8fWVlZqFlTPNnYxo0b8fHjR8yYMQMvX76EnZ0dYmNjISMjg+PHj6Nv375ITU2FgoKCxASMeXl5kJWVxbJly2BkZIRmzZphyJAhGDZsGHR0xI2ca9euYf/+/Rg5ciS3MkFubi5cXV2RnZ3NdSAIhULo6+vD0tISderU+a4QdEVFRairq0v8U1T472Gl40cNw+Ubt5CWLp7E57mfPz7HxGL4QPHkTOu374ar240i+zHGkJubi/xShkpkZmXhlMtFPPfzx4wJv3799t9Nc3NrqGno4ukd8UzoAn4+/rl+CB17T4SKmiYA8coJhzeNRVZG0Se4+bnZEPCLNuA695+CgKfXEBMhnr08KyMFj64fRvte5bekHACkXT8P9a59IKMmvoFUamoK+ap6SL9zBQCgO2UhqnTvX2Q/hToNwI8q2hArIK9nABllFeR/LjlNeRkyciLuXL+I9LRUAECA3zPExUSh78BRAIC921bhplvhzPeDRtjiiecdxEaLJ3+L+BCKAL9nGDJqAgCgboMmiI/9DM/7hb9BLw93REd+hGXPot9NeZg0rB9cbz9Earo45PaZ/2tExSZgdD/xsnAr7Q/h3FcrLySlpmPBFgeYNm2ADfOmQElREWkZmeB/CRPV0VRH/24dcfC8G3K/nD+e+AXi1dswDLH6taHWbTr0hLqmNu5dPwtAfIN/8+IxWA/8A2pVxE9VQ4J8sWX5JGSki39TDZu2RKNmrXDtwhEA4nPhVZfDsOjSBwaGdQEATU3MceXsAeRki2edz8pMx3VXJ1h06QMV1SrfZqPMDB01Ae43LnH1z/+FN2JjotBv0EgAgL3dGtxwc+HSDx4xHo8973L17+P7UPi/8MaQkROK/fyCa1a5D2f6yrROLXDOJwQp2eLOwifh0YhMTsc4c3Hn1dJL/0isvNCqVnW4v4lAULT4SW9OPh+77r7A0FYNoKumjDq6GuDxgKNPCm8cfD7G4lHYZww3a4RfYfhoW9y6fpk7Ti9fPEdMzGfYDBI/rd1ptw7XrhTOuzR05B945HkfMV+O04f3YXj54jmGjZI8R3+O+oScnGwY1akHaXgWlIP0TCGs2oufSMvJAjZd1HDTKxNZOeJ2TZM6Clg1RQdqKuL2VF4+w6dYPob3UudGrBnXV0Szeoq45SX+/XyK5UNFSQa92hU+6R7crQrSMkXwfVP+KxQ8eJyIlDQ+hvUXd27Ky/Ewdqghzl6OQkam+Lxm2lwD+za3gEYVyWeBTeqrQUaGh7CIrH/9OzKyPMiUc1j84JGTcOe66zfXqM/oO3A0APE16uuVFwaNmPDlGiV+wFBwjRo8qnAlsZc+j3F43xbMX7YFHbuKl+gNDw2GdjERT+VJVlXczpZRKnzQx5OXR9tbR1FjaOHw4dCNjjCaORbyX6LndHt2hEq92txqDSmPXyD5Hx80WDGT26fByj8RddoNmcFlHxFCyI+iyIMykJycDF9fX+Tm5uL9+/eoW1fckGOMQUVFBQsWLEC7du0wb9481K1bF+/fv4eDgwNu3LgBJSUl7Ny5Ez179gQgnmW2f39x4zw0NBQaGhoSf0tVVRVdunSBv78/AEBfXx8fP37Ejh07MHLkSDx8+BCjR4/G0aNHMW6c+AIvLy+P+fPnY/LkyWjWrBnq1RNf4M3MzHD9+nUoKCggNDSUm6DxV0x21KtrF+Tk5GLhqvVQUVaGnJwcdm5Yzc1PEPEpilvGsYDLlWtwf+CJtPQM7HA8iBbNmmDlwrnc+7v/PozwDx8hKyOLDuZt4GC3odxDKP8fyMkpYPyiw7jmvA5Bvu4QCYVobNoVXQcWXuCy0pMQ/zkM+bnZUK0ivjBmZ6bizN7ZiI18h7ycTBxcPxLdB89G/ebiddBr1W+JIZO34LLTSsjKyUMoFMCkwwB06jOx2HyUlaxnHuApKqH6/PUQ5eaACQSI272GW1ZRvoZhkQkVISsLBYPayPC4VeLnKtSuByYUgP8Ll4kq0Klbb+Tm5mDzqrlQUlaBnJwcVmx04CY7i4r8yC2RBQBNjVthyqy/sMduJZSUlSESibBg+VYY1hafG6pWq4G1dgdw/uRBPHp4G/y8PKiqqWPd9oMwrF33l5Spd2cLZOfmYfaG3VBRVoK8nBwcVs+HzpdJFD9ExXDLOCalpmPCsk2Q4fFw74kv7j0RL50ZHZeAueMLw1jnjR8Ox9MXMeGvTVBTVYGcjAwcVi2AkcGvnZpbTl4eC9fsw4kDW+D79D6EQiFM23SGzfApXJr0tGRER35AXm4OqqiLf1Mzl2zD6cPbsG7RWPB4PNRrZIzh4wrPgcPHz8O962exa/1syMvLIycnG60tusNqwNhyLU/nbtbIzc3BxpXzoKysAjk5eazatIerf58jP3LLAwJAsxatMHX2Uuy2Ww0lJXH9W7RiM2oZFa1byYkJuOoqXj7YzfUUBg0v387FAv1a1EU2n49pp+9BVUEe8rIyODS2JzeJ4vvENG4ZRwDoVN8A24Z0gp27D+RlZJCZz0ePxrUwqYP4CaiaogKOjrPCPg9/TDrhDqGIQVZGBo6juqN17fJfbQEALLv1Qm5ODtauWAhlFfFxWrd5V+F54lMENL86TzRv0RIzZy/Cjq3roKykDKFIhKUrN6D2N8cpPOwdZGVluSUdfzWhELA7noQJNppo20wZMrLAy5BcXH6QyaVRV5WBfjV5KCnwkPllzssdJ5IxolcVrJmmCx4PyMoRYbNTIuKSxZEHqRkibDqSiJHW6mjTTAmKCjx8ihVgi1MiF+FQngQChoVrA7Fwen1YtteFrCwPj58nS0QNaGnIw8hQBcrKskjLKIyGaFS/CmLjc5GTU/KwDQAYNcgA1XUVYd21Gi7fjEZyKr9cylJwjdqyag53jVq+cS80uHPEhyLXqMmzlmGv3UooKatAJBJKXKMePbiFA3s2om79xjh2YAcAcediTPQnrtP8V2i8ZTGq9xevONXmygHEXbuP4CV2kFGQR5Um9aFUs/C3/fm0G2TVVGDufgzCjCyI8vnwtrJFfnxhJM2LEXPQfM8qdHh2EWAMKc9eIuSv7UX+LiHSxGM/M+MZwbNnzzB8+HAcOHAAbdq0wcCBA1G9enW0bNkSu3btwujRo9G1a1cIhULk5uYiOzsbrVq1wtChQ7F8+XJMnTpVYkKiFy9e4OzZs3Bzc8PHjx/Rs2dP3Lx5k3v/8OHDePfuHQwNDXH8+HGMHj0ac+bMwaJFi1C7dm0cO3YMR44cQbt27UrMc1xcHPT09MDn8yEnJ4eIiAgcPXoUvr6+uHnzJgICAtCixfcv3RP9tvil0yoz/Ua/dum2X+HCs98vDKzt0cHSzkKZS1rkJO0slLk6OUHSzkKZeyNv9u+JKiFV+Zx/T1TJNHp2UNpZKHPvLSZJOwtlbsux3685GhH0+z0xtt/eTNpZKHOxzSyknYVy0ZdfdKWNyqDHKF9pZ6FE987++HDd3wVFHpSBwYMHo0+fPgCAhw8fwtXVFR4eHjAzM8OTJ09w/fp1pKWlISMjA46OjjA3N8f79++LfSpuZmYGMzMzJCQkoFmzZrC3t+fei4qKgqGhIaZMmYLXr1/j4MGD6NOnDx4+fAg5OTno6urC39+fmyCsJNnZ2WjYsCHXaVG7dm2sXr0aVlZWmDt3LoyNjcvuyyGEEEIIIYQQUulR58FPateuncRTfgUFBYwePRqjR48udb9/C6d3dnYusq1mzZrcnAnNmjXD69fisZM1atSAlZXVd+e5Tp06ePtWsjdSVlYW9+792rW0CSGEEEIIIYRUDtR58BvQ0ip96TJCCCGEEEIIqegY+/2G2f5OaLUFQgghhBBCCCGElIo6DwghhBBCCCGEEFIqGrZACCGEEEIIIUTqRKLfb+WV3wlFHhBCCCGEEEIIIaRU1HlACCGEEEIIIYSQUtGwBUIIIYQQQgghUsdEtNpCRUaRB4QQQgghhBBCCCkVdR4QQgghhBBCCCGkVDRsgRBCCCGEEEKI1DFabaFCo8gDQgghhBBCCCGElIo6DwghhBBCCCGEEFIqGrZACCGEEEIIIUTqGKPVFioyijwghBBCCCGEEEJIqajzgBBCCCGEEEIIIaWiYQuEEEIIIYQQQqSOVluo2CjygBBCCCGEEEIIIaWizgNCCCGEEEIIIYSUioYtEEIIIYQQQgiROiai1RYqMoo8IIQQQgghhBBCSKmo84AQQgghhBBCCCGlY4RUArm5uWzNmjUsNzdX2lkpM1SmyuN3LBeVqXKgMlUOVKbK43csF5Wpcvgdy0T+//AYY7QeBqnw0tPToaGhgbS0NKirq0s7O2WCylR5/I7lojJVDlSmyoHKVHn8juWiMlUOv2OZyP8fGrZACCGEEEIIIYSQUlHnASGEEEIIIYQQQkpFnQeEEEIIIYQQQggpFXUekEpBUVERa9asgaKiorSzUmaoTJXH71guKlPlQGWqHKhMlcfvWC4qU+XwO5aJ/P+hCRMJIYQQQgghhBBSKoo8IIQQQgghhBBCSKmo84AQQgghhBBCCCGlos4DQgghhBBCCCGElIo6D4hUxMfHQyAQSDsbhPxWaAqbik8oFEo7C+WG6h8hhBDye6POA/LLRUVFYdasWXj+/Lm0s1Kmvm04/y4NaZFIJO0skO/w9OlTeHl5STsbZep3q3s+Pj5wc3NDVlaWxPbf5Vzxu3UIp6am4tGjR0hOTpZ2VspUTk4OIiMjpZ2NMvG7/Ha+9buW63dEx4r8v6HOA/LL1axZE8rKyujXrx/8/PyknZ0yw+PxwOfzERERAaFQCB6PJ+0s/bT09HTIyIhPE0+fPkV4eLiUc0SK4+bmht69e2Px4sXIz88HUPkbNCKRCDIyMsjNzYW7uzuAylsmDw8P/PPPP/Dw8MCqVatw8eJFCIVC5ObmQiQS/RbnipSUFMydOxfbtm1DSkqKtLPzUwqiQx4+fIjevXvj5s2bUs5R2Sgo1+HDh9GuXTs8fvxYyjn6eTweD6mpqYiMjMSrV6/w4sULhISESDtbP43H40EgECA2Nva36ZQrOH9nZGT8Vh3DBefvr49TZb1WEfI9qPOA/DJfn0ydnZ0xbtw4WFtb48WLF1LM1c/Lycnh/r9lyxaMHz8eBw8elGKOfh5jDHfv3kXHjh0RERGBvLw8bN68GTt37sT79++lnb0yk52dLe0s/LSrV6/C0dERLi4uyMzMRN++fSEQCCr1DWlBx0FWVhYGDhyI8ePH4+7du+DxeJWuURYVFYVly5bh0KFDGDlyJGrVqoXdu3fj5s2bmDhxIs6dOyftLP6Ughu1vLw83Lx5EwKBAFpaWlLO1c+RlZUFABw/fhwzZ86EsrIyFixYIOVc/byCcl2+fBk2Njbg8/lwcXGRcq5+3IsXL/Dw4UN07twZ27dvx/Lly9GmTRtER0dLO2s/hc/nAwB8fX3RtWtXHDx4sNKd97728eNH+Pn5wdraGjdu3MCcOXNgbW2NxMREaWftp2RkZHD/d3FxwYQJE3D48GEAqNTXX0L+DXUekF8mNzcXALibUHt7e4wYMQK9e/eutB0IKSkpmDdvnsSTqbZt22LQoEES6SrbhZ/H40FFRQUNGjTAhg0b8OHDB+jq6iI8PBzOzs6IiIiQdhb/s4KnoYwxCIVCHDp0CO3bt0dgYKCUc/bj3Nzc4ODggG3btqFXr164e/cuoqKiYGVlxf3eKpuvOw5sbW3RrFkzjBs3DrNnz8bDhw8rVQfC/fv3kZiYiO7duyM6Ohq2trbQ0tKCm5sbbty4gXPnzuHz58/SzuYPe//+PdavX49Lly7hr7/+wrhx47B8+XLk5uYiNDRU2tn7zzw8PLB06VI4OTlh4sSJyM7OhqmpKWbNmoXatWtLO3s/zNvbG87OzvDz88P06dOhr6+P/v37o2/fvpU2SiQoKAi2trZ4+fIlfHx8YGZmhsjISBw5cgTdunWTdvZ+WHh4OK5fvw4A8PT0RLVq1TB69GjuZrSynPsKeHp6Yt26dQgLC0P79u3h6uqKK1euoG/fvtDV1ZV29n7Y+/fv8ffff+PTp0+IiYlBWloabt++jUOHDlXa3xQh34s6D8gvce3aNcyYMQMCgQC1atWCp6cn9u/fDwcHh0rdgcDn8xEdHY2UlBQcPHgQiYmJWLlyJebPn4+TJ09y6SpjL3SHDh0wefJkyMnJoW/fvhg5ciRWrFiBFy9e4Pjx44iPj5d2Fr+bm5sbZs6cidjYWPB4PERFRcHe3h5v3rzB9evXK1VZCjx58gQzZszAiRMnYGpqCgCoUaMG+vbti4CAADx58gSA+GY8Ly9Pijn9fowxruNgwoQJaNu2LXbu3Ilp06Zh0KBBsLW1hZeXV6X4PcXHx2Pbtm34888/MWnSJOjr6yMkJAQNGjTArl27EBYWhipVqnDDgiqjunXr4v379xg9ejQ8PT2RmJiIqVOnolGjRtixYweAyjNBZGpqKhhjePLkCebMmQMLCwsIhUIsX74cU6dOxdy5cwFUnvIUiIiIgLe3N/78809YW1ujWrVqePDgAZYsWYIdO3Zg2rRpACrfTamSkhIGDhyIPXv2wN7eHhcvXsTatWsxceJEAJWvPIwxMMbw6NEj2NnZ4a+//oKbmxu2bdsGLS0tnDp1CgEBAZXi3Pe1hw8f4v3793j79i1GjRqFuLg4HD16lPs9VbbjVCAiIgKurq7w8PCAv78/6tWrh9u3byMqKgpjx45FVFSUtLNISLmpvK0WUmlcvXoVa9euxfPnzzF37lyMHTsWAwcOxJ07d+Do6AgHBweMHDkS1tbW8PX1lXZ2/5Nq1aqhbdu22LBhA27evAlbW1u4uLhAQUEBf/zxB44ePYqZM2ciLCxM2ln9LomJiWCMISEhAVu2bIGPjw+srKxQpUoVuLq6wszMDLNmzcKVK1fg7u6OtLQ0aWf5XwmFQgQHB+P8+fN49OgRoqKiMHXqVNjZ2WHjxo1wdHTE2bNnJUIQKzLGGPd0PiMjA1u3buXe27BhAx49eoRx48ZxT3WysrLw+vVrpKamSinH34/H4yE/Px9jx45FjRo1sHjxYgBAvXr1YGZmhvz8fDx48KBIZ0hFbIBmZmaiZ8+e0NHRwYABAyAUCrFt2zZcuHABXl5ecHR0hLm5OTQ1NSvd+F+RSITMzEzcuHEDxsbGmDVrFh48eABra2t4eXmhcePG2L17N4DCUPmKTCQSQVNTE127doWJiQmmTp2KKVOmQCgUQk9PD+Hh4Xj27Jm0s/mfMcZQu3ZtzJkzBzY2Nli1ahXWr1+PGjVqIC4uDpmZmdxT0sp2U1q/fn1s2LABEydOxLp166CpqclF/H07j0hlGMbA4/HA4/Fga2uL9+/f4+rVq2CMwc7ODg0bNsSECRO4815lOl8UdL49fPgQvXr1wsCBAzFo0CAIhUIwxiSOU0U8j5eka9euaNq0Ke7cuQM+n4+2bduiTp06uHPnDl6/fo1JkyZV6qgyQkpDnQekXF26dAmHDh3Cvn37cO7cOTx69Ahz5szBxIkTuTBrR0dH7N27FyNHjkTfvn0rfAeCSCTiJg7ctm0bdHV1YWhoiG7dumHhwoU4cOAAJkyYAAC4c+cOwsLCKsUYYF9fX0yfPh1JSUmoWrUqMjMz8fr1a5w5cwa1atWCSCTC1KlToaOjg2rVqsHJyQknTpzA9evXERsbK+3sl0hWVhYzZ87EsmXLMGrUKPTr1w8LFy5E//79sWTJEgwaNAjr1q3DrVu3KsVTRR6PBxkZGbRr1w579uyBs7MzJk2aBAcHB9y7dw8mJib4/PkzLl++jE+fPkFFRQWxsbG4cOECN/FgRVTQIC4YQx8aGoqgoCAAgJeXF/bt24fatWujT58+UFRURH5+Pl69egWg4t34xMTEIDAwEKNHj0bNmjWRkZGBLl264NOnT9DQ0ICRkRHu3LmD5ORkODs74+nTp5Wi7gHAy5cvISMjAxkZGUyZMgUZGRng8/kwMDCAl5cXevfuDSsrKwwePLjSzP0iIyOD9PR0DB48GBkZGfj7779hamqKY8eOYd26dXBzc8OdO3ewdetWiSFqfD6/Qt/I8Xg8ZGVlYejQoYiOjoaDgwMsLS3h5uaGlStXYvXq1bh9+zZcXFwkOrgrcpmAwuiP9+/fw9PTE1OnTsW1a9ewevVqAOCieYRCIfh8Pjw8PBAcHCy1/P6bgnmTXr16BVtbWzRo0IA7L3Tq1Al6enqwt7eHrq4uhEJhpYlW4vP5UFBQgJmZGeLj46Gvr4/nz58jLi4OsrKyEvUsKiqqQrcjvvXy5Ut07NgRY8eOhbW1NVJSUmBmZoatW7ciJCQEoaGhmDhxYqXouCLkv6ocZyBSKX348AHjx4+HjY0NLCwsuAZnlSpV8OnTJ0ydOhVmZma4c+cOnJycuCEM/fv358ahV7Se6JCQEGzYsAGmpqYICwvDs2fP4OnpiQYNGkBVVRWpqakwMjLCzZs3sW3bNuTk5ODkyZPQ0dGpcGX5VuPGjeHv74+pU6cCAMaMGQNlZWVERkZiwoQJGD9+PJSVlbF48WLMnj0bZ8+eRe/evTFx4kQ4OztLOfclY4xBXV0dNjY20NfXR1hYGIyMjLj3HRwc0KdPH8ycOZNbPrSiNp7fvXuHZcuWoU+fPli1ahWMjIxw//593Lt3D1u3bkXz5s1Rr1491K9fH8+fP8fRo0eRkpICY2NjHDt2DHv27EFcXJy0i1GsggZxixYtMHfuXNSuXRvLli3DyZMnsWHDBvTu3RtJSUnYt28f4uLiIC8vj1evXmHv3r3w8vKqUHM8yMjIoEGDBti0aRPS09OxatUq2NnZITMzE0+fPkXPnj3RpEkT+Pr6QktLC2vXrkVUVBRX7yrquUIkEmHz5s2YOnUq5s2bh5EjR+L48eN48OABevXqhby8POzcuROvXr3C48ePJY4Ln8+vkB0keXl58PX1RevWrWFpaQlnZ2fUrVsXb968wYULF3Do0CHcvXsXHz9+xPLly/H06VMAQFpaGvz9/ZGUlCTlEhQvKysLfn5+6NixIwYPHoyTJ08iMzMTERERCAkJwaNHj3Ds2DE4Oztj5MiRCAgIACCeBO7t27dFlhOtKEQiEWRlZREaGorp06dj4cKFsLe3x+3bt+Hg4ICFCxfC09MTgLjjWF5eHvr6+nj69Cm8vb2lnPuiwsLCcODAAQDiEP+goCCMGDEC9+7dw4ULF3Djxg3s27cP3t7e6Ny5c4V/uFJAJBJBXl4eb9++xdy5c7F161bY29tDTU0N/fr1Q3h4uERUUmxsLK5fv478/PwKeZ74lr+/P5YuXYpq1aqBMYZVq1bh/v37+Pz5M2bNmoWAgAC8e/eOOhDIb4nHKmorhVR6IpEIGzZswLZt23Dw4EHcvHkTqampOHPmDF69eoX169dj7ty5SEpKQnx8PJYsWYIPHz6gXr16mDlzJvbt2yftIpToyZMnWLduHTQ0NHD06FHY29vD1tYWERERMDQ0RK9evZCRkYGDBw9CSUmJmxtBVVUVPXr0qHATBQmFQsjKyiIlJQVt2rRBvXr10KRJE7x79w7v3r1D06ZNMX78eKiqquLSpUtQUVGBvb094uPjUb9+fcyZMwcbN26UdjGKKAjvDw8Px8yZM9G7d2/4+/vj7du3OH78OBo1asSl7d+/P4KCguDv7w8NDY0iIZUVQcENS0BAAC5evIju3btDV1cXnTp1QmhoKPh8PpycnDBz5kzk5OTAyckJnTp1wsCBA9GjRw8MHz4cjo6O0i5GEUKhEGfOnEFgYCBSUlLQtGlTyMvLIzg4GGfOnEHNmjXRvXt3jBw5EhMnTkSLFi1w4MABaGpqYty4cXj8+DEuX76MFi1aSLsoEgYOHIiqVavCxMQE27Ztg7u7O6KionD16lXIyMhgz549AAAbGxs0btwYYWFh2LdvH/T19aWc86IKfg9nzpzhIsdyc3Oxfft29O/fH4wxHDp0CJcvX4aJiQnatm2LLl26ICQkBEpKSvD29kadOnVQp04dqKqqSrs4HMYY3rx5gxkzZiAhIQH6+vpYtWoVwsPDMWXKFLi4uMDQ0BBr1qxBXl4eJk6ciGHDhuHYsWPw8/PD4sWL0bBhQ2kXo4icnBy4ublh2bJl6NGjB2JjYzFs2DDcv38fJ0+exPPnzyESibB48WK8efMGV65cQcuWLeHq6oqYmBhMmjSpwl2nCupgWFgY/vzzT4wdOxZ//PEH1q5di8TERFhYWODevXtIT09HYmIiBg8ezF2j379/j2bNmsHV1RVVqlSRdlE4qamp6NatG9TV1ZGamopDhw4hNTUVAwYMQKNGjXDmzBkkJSVh+fLliI6OhqWlJZycnACIhxmqqKhARUVFyqWQVHDdDQsLw8yZM/HHH3/gjz/+wKpVq6ClpYWgoCDcvHkTixYtQr169dCtWzfIycmhc+fO0NDQwPjx4zFu3LgKd/0tqH979+5FQkICXr16hadPn8LJyQl3796FlpYWli5diqZNm6Jbt27Yt28f6tatC0tLS5w5c6bSRIwQ8q8YIWVMIBBIvF6/fj3j8Xhs3LhxbNu2bWzq1Kls5MiRTF1dnbVr144xxlh6ejqLiopiffr0YXXq1GGbN2+WRta/2969e5mqqio7e/YsW7NmDatSpQrbtGkTu3//Pjt9+jRr06YN09DQYH///TfbvXs369q1K2vYsCFbvXq1tLPOEQqFEq9FIhG3XVNTk1WtWpUdO3aMxcTEsL1797LBgwezixcvsjt37jAvLy8WGRnJGjVqxHr37i2N7H+3sLAw1qVLF3bhwgXGGGPu7u6sa9eubOHChSwjI4P7HmJiYlidOnXYpEmTpJndYkVGRha7PS8vj9nb2zM+n8/y8/MZY4zt2rWLVa9enaWkpLCTJ0+yLl26MGVlZWZlZcXtV3CspenrPMTFxbFnz56xdevWMVtbW7Z7925mb2/P7t+/z44fP86io6OZqakpmz59OktNTWVNmjRhI0eOZAkJCWzGjBlMS0uLRUdHS7E0kvh8PmNMXPf69+/PxowZw/744w+2detW5u/vz4KDg5mCggLbt28fi4+PZ4cPH2ZeXl5cHa3I3rx5w+rXr89SU1OZo6Mja9SoEVu9ejWbMWMGq1mzJjMxMWHv379nR48eZVOmTGE3btxgnTt3ZhYWFuz58+fSzn6J3r59y4YMGcIMDAy4be7u7qx3797M0tKSMcaYs7MzGzp0KDM3N2etW7eukOeKr2VkZLDTp08zU1NT1rNnT8YYY5mZmcze3p5NmjSJOyds376drV27lg0YMIA1bNiQTZ8+XZrZLlVERATr0qULO3XqFLdtwIABbPny5YwxcfvD19eXLV26lE2ZMoXZ2NiwMWPGsAMHDrCPHz9KK9vFKjgHLlu2jJmYmLCVK1cyGxsbtnXrVlazZk1mamrK7OzsWLdu3RhjjJ08eZLZ2Ngwxhi7du0aO3r0KHv37l2Ra3lFEBoaynr06MEdp/z8fNaxY0e2bds2xhhjly5dYuvWrWP16tVjjRs3Zo0aNWItWrRg/fr1Y+/fv5dm1kuUlZXFfHx8WOvWrZmamho7e/Ysmzx5MtPS0mLu7u5s3rx5zMbGhvn4+LC1a9cyxhibP38+q1KlCnvx4oWUc09I2aHOA1JmgoKCimwruDhu27aNOTg4sLNnz7IaNWqwP/74gwmFQtaqVStmbW3NpU1ISCh2f2lLT0/n/u/p6cmGDRvGJk+ezJo0acJ69+7NVqxYwSZMmMAWL17M+vfvz/Ly8tjhw4fZ1atXGWOM5ebmstzcXO4zKkq5srKy2MmTJ5mXlxfX6bNmzRo2btw41qhRI9ajRw/GmLhBNmrUKDZq1Cjm4uLC/Pz8mLm5ucQNaUVswOTl5bFNmzYVuSnbvHkzq1u3bpFGSosWLdiIESN+ZRb/lbe3N+vZsycLDQ1ljBXWnfz8fJabm8sGDhzILl++LLHPiBEj2KFDhxhj4hugkydPcu9VhOP0dRm+zY9QKGTZ2dnMzs6OJSYmcr+bpKQkZmRkxFxdXVl0dDSrU6cOq1OnDlNSUmJ+fn6/vAwFYmJi2Lp165i7uzu3reC3lJ2dzUJCQlhSUhKbNWsW69GjB3vz5g1jjLE///yTnThxgjEmrqdfqyjnh5KsWLGCpaens9WrV7OlS5cyxhibM2cOMzY2ZgoKCmzVqlVs9uzZbMqUKaxLly5s8ODBFaZDWCgUspMnT7J9+/YVee/t27fMxsaGde3alWVlZTEPDw/WokULNmXKFHbu3DlWo0YNNnToUObk5MQCAgK4/Sry8crMzGRnzpxhXbt25TqvDx8+zJo3b86mTJnCXFxcmJaWFmvfvj3bsmWLRD2uiOW6evUqc3NzY4yJj6WNjQ2Tk5Njd+7cYXw+n4WHh7ObN29KOZf/ze3bt1nLli0ZY4xNmTKFde7cmSUkJLC+ffsyJSUlNnjwYHbr1i02duxYNn36dGZlZcW0tLRY//79Jdom0vJtPcnMzGTjx4/nrjtCoZB1796dtW3blkvz9OlTFhQUxJKSklhkZCTz9/dneXl5LCcn55fmvSTflkkoFLK3b98yfX19tnDhQhYWFsaMjIzYsWPH2OTJk5m2tjZzd3dnEyZMYI6Ojowxxm7dusVmzJjBrK2tWWxsrDSKQUi5oM4DUiaCgoJYr1692NatWxljjH348IHNmTOHjR49mnsKx5j4wtimTRs2fPhwxpj4AlK3bt1iG5YVpeFy8+ZNNm3aNO6GICIigntv9uzZrG/fviw5OZktXLiQtWrVij158oQxxtiOHTu43ueCp8KMVYxyFdywPX36lGloaLCpU6ey7OxsxhhjZ86cYYyJ82lkZMR69+7NTp48yV68eMG2b9/OunbtyurXr8+GDBlS5PMqosTERO7/X9fFtm3bck8OMzMz2fr165mcnBybMWMGEwgEUj9OAQEB7PXr1+zRo0ds7969bOvWrczLy4tlZGRIpFu4cCGzsrJib9++5bYtX76czZs3r8hnVqTjJBAI2PTp09mNGzckol4K7Nmzh02cOFHixnrHjh1s2rRpjDHGPn36xFatWsVCQkJ+bca/4eXlxWrVqsVcXFwYY4xduXKFjRw5kqWlpXFp7ty5ww4cOMDmzZvHrKysWGxsLHN2dmYrV65kjEnWy4rm699BQT43btzIxowZw0aOHMk+ffrEhgwZwrZs2cI+fvzIeDwe69atG7t9+/a/fp40XLhwgSkoKLDu3bszHx+fIu8HBQWxYcOGsVGjRrEbN25w2319fZm1tTV79+6dRHppl6eAv78/d677NvovIyODOTs7s759+7KtW7eyI0eOsNzcXJaWlsZOnz7NhgwZUqRcFelccebMGXblyhUWFRXFbROJRMzKyoqtW7eOzZgxg7Vo0YI9fPiQ3blzh6t7IpGIOz4V5TgV+Do/OTk5bMWKFczb25tZWlqy0NBQdv/+fda3b19mbW3N9PT0mL29Pdu2bRs7ePAgW7lyJTt79qxEW6QiiIiI4G7+CyLBhEIhGzhwIBs4cCBTUlJiGzduZIwxdv36dYmIuop2fBhj7PPnz2zGjBlc24gxccREzZo12f3799mTJ0+YkZERc3Z25joQ7t27x6WNi4tjjDGJB0eE/A6o84CUieTkZLZ+/XrWqVMndvjwYRYcHMwUFRXZzp07uTSbNm3ibmiaNGnCjh49yvz8/FiNGjUqbPinm5sbMzExYdWrV5cI5fy6M6BXr16sf//+jDHGBg4cyD2Nv3v3boV7AvLp0yeJ19u2bWNDhw6VuNH5Wm5uLmvSpAnr1q0b1zC9c+eOxJPuitDITEhIYM7OzlxjPy8vj/n5+XG9/V/nsaBh7ejoyHViJScnMx8fH+bl5VUhwt/j4uLYxIkTWd++fVlQUBAbM2YMMzIyYnPmzGEnTpxgHz58YIyJn2wsWbKEdenSha1YsYJ7ql0Q0loRhYeHs+fPnzN/f3+2evVq5uDgwK5du8YyMzMlGpD37t1jvXr1kgj3fPLkCevQoQNLTk5mjFWcBufs2bPZypUrWWpqKrO0tGQDBw7k3ouPj2fBwcGMMXHI/+jRo9ns2bPZjh072LVr16SV5X+Vn5/PXr58yb1es2YN1/D/8OEDe/DgAUtKSmKOjo7MwMCA3bp1iwkEAjZmzBg2adIk1qpVK3bp0iWJhre0j9e1a9dY79692b1799iYMWNY//79mYeHh0QakUjE7t+/z8aNG8cOHjzIbff29mbnzp371Vn+Lq6urkxfX5/NnDmT2/ZtB0JKSgo3bPDZs2fc9tOnT1fYeigQCFhERARr3Lgxa9GiBfP19ZV4/+vr0LRp05i+vj5r1qyZRL2tiAp+B5GRkdzN9qJFi9jEiROZi4sLO3HiBKtduzbLzMxk+/btYzIyMqxXr14SUSEViUgkYkeOHGGGhoZs1KhRLCUlhXvv5s2bbMuWLYwx8e9PWVmZjR8/ntna2kp0BlVEt27dYoaGhkUiYi9dusT09PTY/fv3mbe3N6tbty47cOAAmzp1KtPU1OSGxxR0tlaENhIhZYk6D8hPS05OZi9fvmQXL15ku3btYs2bN2fNmjVjFy9eZIyJT6BCoZBlZmZy+7i4uLCFCxeyI0eOsNGjR3MRCxXJlStXWI8ePdjjx4+Zp6cnq1mzJpszZw5jrGgj2MrKiguD1dDQYMeOHWPHjh1jXl5evzzfJQkJCZEYK3rkyBHWu3dvrlc8Ly+PJSUlFXlSM2/ePDZ+/PhiP7OiXBSzs7NZ165dWd26dRlj4hu2bt26sZ49e3KN6G/z6u3tzVq2bMmys7Mr3JPfhIQEZmdnx3r27Mnatm3LBgwYwBgT5/nMmTNcqGpBmS5fvswsLS3Z2LFjWVhYGNuzZw87e/astLJfLJFIxPLz89maNWvYwIED2e3bt9mVK1cYj8djU6ZMYRs3bmQ+Pj5MKBSyz58/sy1btrBmzZqxYcOGsfDwcCYUCtmnT5/Y7NmzpV0UlpGRwW7fvs3mz5/Pjh49yry8vJi9vT07e/YsO3jwIHN1dS1x35CQEBYSEsK2bt0q1eEWpRGJROzs2bNMR0eHBQYGspiYGDZo0CB2/vx5xpjkk7Tg4GC2cOFC1qFDB+bg4MDGjRvHGGNszJgxbM2aNdLIfrF27drFOnbsyAIDAxlj4ogRZWVl5uTkxHbv3i1xI5Ofn8927Nghcd5zdHRkd+/e/dXZ/leXLl3i5nBp0aIFW7p0aYnn5aioKDZ8+HCJSD8HB4cKVQ+/bStERUWxTp06MU9PT25bcZ1Qubm5zNzcnNnb2/+SfP5XfD6fPX36lJ0+fZoxJn4y37BhQ3br1i0mFArZmzdvWGJiIsvMzGSzZ89mnTp1Yo8fP2aurq7MycmJzZkzh9WuXZvdvXuXCYVCqXfEfevBgwesZcuWEtE6jImHRn7t8OHDTFZWttRzpLR8+7t5+/Ytq1evHhdBkJKSInHN1dPTY7dv32abNm1iHTt2ZDk5OWzmzJlMU1OT24eQ3xFN/Ul+WGJiIvf/cePG4e7duxgwYABycnKQn5/PLU+zefNm9OjRA6dPn+bSGxgY4MWLFxg6dCicnJywdOlSABVniTI3Nzfs3bsX27dvR/v27aGqqgp1dXWkp6fjyZMnGDx4MLZt24bIyEgAwKZNmxAfH48PHz4gIyMDcnJyaNOmDTp06CDlkhQSCoXIyspCTEwMDh8+DGdnZ5ibm3NL9x0+fBh16tSBq6srAPEa4Q8ePIC7uztGjhzJfcbXpDl78Nd1RVlZGadPnwaPx8PQoUPx7Nkz6OvrIzMzE6tXr4ZAIICMjIzEEowFs+ArKytLLBklbampqYiKisKIESNQpUoVfPz4EfLy8vjw4QPs7e2xdOlShISEACj8DgYOHIju3bvj9OnTuH//PmrVqoXhw4dLsxhF8Hg8yMvLo2nTptya8zt27MDly5dx6NAh6OnpQU9PDzIyMtDS0sJff/0FLy8vfPr0Cba2tvD390dUVBSqVKkCPp8v1XOFmpoamjVrBsYYbty4AU9PT4SGhqJly5bIz89HZmYmAODcuXNwdHTklsEDgEaNGuH58+eoWrUqWrZsKa0ilOqff/5BdHQ0TE1NcevWLQQGBkJeXh6HDx9GQkICFBUVue+/cePGmDhxImbOnIkWLVrA0NAQAHDq1CmsXbtWiqUQi46ORlxcHPz8/PD69Ws0b94c4eHh2L9/P27fvg0FBQUsWbIE8fHx3D7y8vKYNWsWPnz4AE9PT1y7dg06Ojro0aOHFEtS1KVLl/D333/j2rVraNy4MUQiER4+fIjZs2cjJSUFz58/h5eXFwDxucLAwAB//fUXrl27hpiYGJw7dw7a2toVph76+/tjypQpaNKkCV68eIHo6GiMHz8es2bNgq6uLnx8fEr83fv6+v6PvTMPpKrb///7GEMiUqIoKkNJJTIVCaU0SUJElJJmpUEaNJPmkgaVojRoUNIkSWmkiZAi85h55nx+f/id/aR67vd+7/fe55x773n982Sfvffz+ey19tprfdZnAIvFwogRI/5iqf82nG/O9+/fceHCBQQGBiI/Px/JyclQUlLCgAEDICAggEGDBkFWVhYSEhJYvHgxtLS0EBkZieTkZMjKyuLAgQOwtbWFqqoqBAQEuFqJ4OPHjwgLC8PGjRsBAF++fMHOnTuxdetWWFpags1mM3MFTiUIznMQExODg4MDzM3NeWa+B/xRIaKhoQG7du1CUVERBg0ahIEDBzLzCxMTE9TU1ADo+OYePXoUtra2aGpqwt27dyEqKoojR45gyZIlaGxs5LJGfPj8C+Ga2YLPvzUvXrygmTNn0vv374mIKDk5mSQkJEhTU5NOnz5NQUFBZGBgQGfPnqVDhw7RrFmzqKCgoNM9du/e3elvXrGkX79+nczMzBjXxy9fvjBx/21tbZSZmUnDhw+n4OBgIvrD9XDhwoV0/fp1evjwIVVWVjK7w7yiFxHRrl27iMVi0bRp0+jVq1fk4+NDkydPpszMTLK0tGR2DTlUVVXRmTNnmGR9vEZzczNlZmYy7vo5OTkkIyPDVIA4dOgQGRkZ0fbt25kdA44nwvv372nr1q3cEfw3pKSkUGlpKdXW1tLXr1/p+PHjNH36dAoODqbjx4/Tzp07yczMjEaOHEn9+/dn2uRH9+SIiAh68eIFpaWl8YxXCIf29nZ6//49VVZW0oEDB0hWVpYMDAwoLS2NTp48SUpKSp12qn+sWCAuLk729vb0/PlzJgSAW3CSe3Fcv69evUpHjhyh9PR0ev36NQkJCTG/jR8/nvr160dRUVHM9RUVFUxeFCLeGh+IiCIjI0lNTY3y8vLIz8+PVFVVKTc3l6Kjo8nQ0JCOHTv2W5kbGxvpwYMHdO/evU7Hua2fk5MTk6F+1qxZ1LNnT7K0tKRnz55Rfn4+mZqaMrkPzp8/3ymnyMWLF+np06edQpm4rQ+HqKgomjhxIhUXF1NYWBg5ODhQWVkZjRw5klauXEl5eXnUv39/mj59OhF1yM15p7Zv306fP39mvt+c37nNp0+f6Pjx47Rjxw7y8vIiMzMzSkxMpDdv3hCLxWLCzIg67xK3t7fTzJkzacSIEdwQ+0/hPNO6ujry9vZm5kX79u2j2NhYGjduHE2ePJmqqqo6nU/Usev96tUr8vX1pevXr3NF/t/x/ft3CggIIAMDA5o8eTKdOHGCxo0bR7GxsRQXF0fq6upMVZWfv0GVlZU0YMAAmjdvHjdE/1M4z72+vp4mTZpEmpqa5OvrS62trUz4X0pKCjOvyMvLY75Dt2/fZs7ltW8uHz7/KvjGAz7/EM+ePaM5c+aQpaUlXb58me7du9cp+35BQQHt2bOHVFRUSE1NjYlRzsrKIldXVzp69Ohvs11zmytXrpC5uTmTSTszM5OmTJlCEyZMYD7wzs7OzCKHzWbTgQMHKDExkdLT0ykrK4tbov8pP37QQkJCSEpKikmK+OjRI3J0dCQlJSXy9PRkzouLi6OFCxfS4sWL/3J5/x44Oj1+/JjU1NQYOe/fv0/r1q2joUOH0sGDB6m1tZXWr19Po0ePppCQkE6Tsx9jmLk9ca6pqWFK+hF15NrYvn07EXW4t27cuJHMzc3pwYMH1N7eTkOGDKGhQ4cyBgReC7v4kaysLGaRkpGRQQ8fPqQJEyaQv78/LV26lC5evEjjxo2jcePGUb9+/ZhM1UQd7uNsNpseP35M+/fvp48fP/5pfo6/goqKCjpx4gRZWlrS6NGjKSAggE6cOEFpaWnU2tpKd+/eJWtrayLqCJ2ZMGHCL5UwfoTb/e5n4uPjaezYsZ1cil1dXenUqVNERLR69WoaNWoUk/Pl534XGhrKU/Hmb9++pV69ejEx/bm5uTRs2DBav349paSk0JgxY0hHR4eIOuKxtbS06MWLF8z48vbtW4qKiuK5hGcJCQk0cOBAiomJoevXr5OtrS3V19dTYGAgLV68mBoaGsjDw4NmzpxJQkJCnaqtEHUYGRMTE5nwAF7rh0VFRaSqqkqnTp2iDx8+kKmpKa1fv54kJCRoy5YtzHkcudva2ujhw4dMAkFe0IfThzghdb6+vkRE5OHhQSYmJtTU1EQXLlwgIyMjJpfB78IRoqKifslfwSs8fvyYRowYQSkpKZSamkpaWlqkoqJCY8eOpaKiIiLqPP949+4dzZkzh/mNl9qpvr6eHBwcaPny5RQeHk6zZ8+mtWvX0vHjx6myspLev39PCxcupPb2dnJwcKCFCxcy4+DPSYz58PlPh2884PMPk5SURK6urjRgwAAyNTWl1atX04QJE5iSjUFBQTRw4EDS0dGhQ4cOEVFH5nt1dXXav38/kyiIFz4gRB0fAAUFBaZ0ZHp6Opmbm9OyZcto0qRJNHv2bBo3bhzt3bu303UfPnwgR0dHsre3/225Sm7y47Pdv38/2dra0vTp08nHx4c5bmlpSVpaWjRz5kxKTU0loo54PkFBQZ6vOx8aGkp2dnZUU1NDSUlJTNnC8PBwmjBhAr169Ypqampo9uzZZGhoSA8fPmSuffv2LU8lbEpPTycZGRkaNmwYzZs3j3x8fCg6OpqJZT5//jy1t7fT+fPnyczMjEaMGEGKior05csXIuKd/BM/0tDQQMHBwWRsbEx5eXlUVlZG586dY+JiL168SFOmTKFNmzYxO92ysrJMmUle5d27dxQVFUVHjx6lzMxMqq+vpxcvXtC9e/do586dlJubS1OmTOmUcI9Xxrk/49q1a2RiYkIjRoygzZs3U3JyMu3du5esra3J2NiYLly4QK2traSkpNQprjw3N5devXpFFRUVPJUToLW1lc6dO0dKSkp09epVOnz4MMnIyFBGRgadOXOGjIyM6MaNG6Surk5jx44lCwsLOnPmDBERbdy4kXx9famwsJAn2y06OppMTU3J0NCQTE1NiaijAoa3tzcREc2cOZN69epFRESBgYHUrVs3evLkCXM9Nw1wfwZn/MrMzCQTExOSkZEheXl5MjMzY/JUHDx4kISFhTv1P15cWP+4IPXw8CBra2uqqKggog7DiKOjI926dYuIOjxjOG34M1+/fqWgoCCeWpxydMvKyiItLS0SEBCg1atXk5WVFSUmJtLDhw/J2NiY8YQh6jz2/ZhAlVeor68nW1tb2rBhA1VWVlJRURHp6emRt7c3HThwgFxcXCgkJISZx1pbW9OkSZO4LDUfPtyDbzzg87+G8yEoLCykU6dOMbui79+/pxs3bpCHhwcdOXKEyZQeGBhIhoaGtHfvXvL09Oy0cOU13rx5QzIyMjRt2jQaO3Yss0MfExND/fr1I0lJSTpy5AiVlJRQQUEBxcfH08KFC6l///6/uPxzmx93yw4dOkSWlpZE1BG6wPEQmTZtGm3cuJGSkpJozpw5NHv2bDpz5gxZWFgwkxtenDwTEfn7+9OUKVOYKhD79++nXr16UVZWFpWVlZGLiwv5+fkRUcdkWV1dnezt7ZnrfywByG04z/jly5ekoKDAJGqrqamh8PBwmjZtGm3YsIH27t1LZmZmTJ1zVVVVsrKy4tk2IuqoMODq6ko6Ojo0YMAA2rlzJ127do1CQkJoxIgRtHLlSqqurqaPHz/SjBkzaPTo0dSvXz86cOAAt0X/U65fv04uLi704cMHqqqqouTkZCovL6dbt26RmpoaaWhodJKfl9uHqMNwMHbsWCosLKSXL18y4/XYsWNp8eLF5OrqSm5ubuTt7U3Dhw+nyZMnU0BAAG3dupXU1dWZJKy8ZBBuaWmh69ev05EjR0hZWZmGDx9OgYGBVFdXRytWrGBCFd6+fUuSkpKkrq7OXGtqavrb8sG8xO3bt2ncuHE0c+ZMmj9/Pg0ePJjq6+tpzpw5NGXKFJKSkqIPHz5QdXU1jR49mpycnHhqzPsRTn/JzMyk8ePHU2RkJBUXF5OBgQGNGTOGOa+0tJR8fX1JQUGBSd7Jq9TV1dGMGTNowYIFZGRkRL6+vnT79m2aNm0a9e3blwwMDCgkJIRSU1NJVlaWHj16xHgehISEUFpaGhUVFfFU4j2O4eDz5880fvx4CggIoKVLl5KsrCwdPXqUOefgwYOkq6tLa9as4Vnvlh85fvw4sVgsplypu7s7OTo6EhHRwoULacyYMfTw4UPGiLNp0ybmG83LevHh86+Cbzzg8w9TWVlJK1asIE9PT1q/fj1ZWFhQVlYWXbp0ifz9/ZmygN+/f6dt27aRpqYmbdy4kbmeF3dKiTpi23r27EkGBgbMMRcXF1q1ahWzU6Wjo0PKysrUvXt3WrJkCZ0+fZo5l9sfk5qaGlq6dClt376d2traqLS0lI4dO8aEjhw8eJCEhIToypUrneKTX79+TSYmJtS9e3fm+I91srnJjzK0t7dTe3s7+fn5UWlpKRF1hNHo6up22l2Li4sjeXl5ZtdqypQppKKiwlO7OD9SWlpKcXFxFBQURBISEp3iQsPCwmjatGnUr18/2rdvHxF1hNhs3ryZAgMDuSTx38/bt29p27ZtNHz4cLp79y41NzfTu3fvaMSIEeTp6UmxsbHk6OhIixYtosrKSvLx8SF1dXWe8+ThcPPmTdLV1aXy8nJ68+YN0w+/fftGCgoKpKamRkeOHOHJXbbfcf78+U4lMe/evUt6eno0ePBgKisrowcPHlBbWxu9efOGTp48SWJiYqSgoEA9evQgOTm5X/Ic8AJlZWWUnZ1Nra2tNGrUKBIQECAXFxeaM2cOU36toKCAzM3NKSAggDQ0NGjs2LE0d+5cpqQwEffH859l+LFMcHR0NA0dOpRUVFRo0KBBZGxsTAICAkREZGxsTNevX6eSkhLS0dFhwml4lby8vE4G+7a2Nrpx4wbp6up2MsTl5OSQlZUVTZw4sVN1IF6itbWVpk6dyhigHj58SEZGRuTh4UHGxsaUkJBAhw4dYkK3unXrRqampjRu3DgaOnQoDRgwgImp56Z+v/t/Z2Zm0rhx4xjjzcuXL2ny5Mm0ZMkSJhyhtbWVVq1aRSoqKp28/XiZuXPnUq9evcjGxoZGjBjBGOZsbGxo0qRJ5OLiwniPbN++vdNclg+f/zb4xgM+/ydycnJIUVGRfH19ad68eTRu3Ljf1pefM2dOp2RovPjB/5G3b9+SlJQUubq60owZM5gdbKKOPAFfv36lrKwsxkDCgRcMIo8ePSJ5eflOybA4tLW1UXl5ObFYLBITE+uUiCklJYW0tbXpzp07f6W4fzdtbW1UV1fH7A5w+tD9+/dJX1+fxMTE6PHjx1RfX89MsI8dO0aXL1+mrVu30qBBg2jkyJG/lI7iFpmZmZScnExJSUnMsfj4eLK2tqZr166RgoICOTs7M79FRkbS9OnTac+ePcwk5kd4+Z0KDw+ngIAAWrduHY0ZM4YJj0lPTyd9fX1SU1OjWbNmUVtbG6Wnp9PGjRvJ2tqaWZRzg5SUFNqzZw+zmPmRV69ekaGhIZWWljJx/9++fSNra2u6dOkSzZ07l9TV1TstyHmRHxeiRB3uuwcOHKAbN25Qeno6jRo1irZt20Y3b96kzMxMioiIoJiYGLKysqLm5maqrKxkwmZ4kZqaGpoyZQqdOnWKli9fTkJCQnTixAmKjIyk79+/082bN5l8AJxkbj96HPDSO8XxGvhZphcvXtDTp0+pZ8+e5OLiQkZGRtTQ0EBmZmY0b948cnZ2pj59+vBM/pofE9f+aFx78eJFp3KMRB0eY8uWLaOZM2d2Om5oaEjq6upMUmJe5OnTp8y/a2trKSEhgXR0dMjBwYG+fv3KlLL+9u0bbdiwgXR0dGjq1KlkaWlJjo6OTI4lbsHpZ01NTcxcorm5mdatW/dLOOOFCxeoX79+lJCQ0Om4kJBQp7kTL/LjnM3R0ZGMjY2JqCPZ7fbt2ykuLo709PRo/vz5dPbsWSorK6OVK1fSzp07uSUyHz5ch2884PN/or29nTw8PCguLo6ePXtG7u7uZG5uThkZGcw5bm5utHLlSuZvXpqQ/S2Sk5NJTk6O1NTUmEnOjRs36ODBg1yW7PdwnmtMTAxduHCBiDriC2/cuEFPnjzp9JGcM2cO+fv7k6CgIN2/f5+ys7NpzJgxnTwOeAXOAicrK4sUFBRo0qRJTEgGJ2HT9evXydzcnM6fP08vXrygadOmMTunW7duZXZxeGGyyZmI3b17l+Tk5Gjfvn109epVWrNmDRF1JOR8+/YtffnyheTk5DqFw5w9e5bs7e3p2LFjnYwgvNRenHfl2bNnlJSURLm5uVRcXEyamprk5eVFPj4+NHr0aCYp6ZcvX8jY2JiWLFlCtbW1jF7cNvK4u7uTgYEBhYaGUk1NDbHZbKqurmaMPT/KV1RURBMnTqSwsDAi6vBUEhMTo5iYGK7I/j+RlZXVqc9wwg2IiO7cuUMsFouio6Pp06dPNHr0aFq2bBktWrSIUlJSKDMzk1xcXIjNZncaU7jZB/Py8uj69etMwtrXr18zBqqvX78SUUfiOUFBQRowYAAdOXKEWltbOyV8XLhwIa1atYr5mxfeqfz8fIqKiqKsrCxKTk4mExMTunz5MrHZ7E6x/kVFRWRjY0NVVVVkYmJCBQUFNG/ePDpz5gyVlZV1Gve4rRfHCOLn50enT5/u1PeI/kgayJEzOzubZGVl6fbt29Tc3Ey7du2igQMH0vjx43liPP+Zn0NDcnNzafr06XTu3DnKzMwkfX192rZtGz158oRJNh0QENApUSy3w0s4z765uZmWL19OSkpKlJiYSETUyajxYx9ctGgRGRkZUVNTEzU2NtLSpUuJxWIx37V/F968eUMrV64kV1dXpqrYhAkTaO3atTRq1ChydHSkjRs3dqrAwofPfxt84wGf/zOVlZXMvxMTE8nFxYXGjRtHb9++pUuXLtGiRYuY37k9cfnf8u7dO5KSkqJ58+YxZQs5k1JegjPZaG5upv379zOlCysqKmjIkCFMFn9OGMPUqVOJiCggIIBYLBZZWVkxizle4s2bN7Rr1y4i6nDdHzVqVKcSmHl5efTixQsiIjp8+DAtWrSICgsLaf369eTj40OTJk3qtEPA7f739u1bGjNmDIWEhNCMGTMoODiYWlpaSEtLiyZPnkxEHW3EWZhmZGQwO4ocjh07xlSJ4CWqqqro1q1bpKenRzdv3qQDBw5Qjx496NGjR0TUUeljz5499O7dO/Ly8upkQMjIyCBdXV1aunTpn+6w/pWcPXuWpKWl6fLlyzR+/HgKCQmhzMxMGjJkCOnp6XVa8BQVFZGBgQFTkeDOnTt0+fJlOnHiBLfE/5s8efKExo4dy3hFXL16lRwcHCguLo5ZDFy9epUEBQXp9u3blJqaSoqKirRnzx4i6jDYcRIL8goREREkKytLe/fupS9fvtCmTZtIU1PzlzFt69attGbNGlJSUqK9e/cy8dg/V5bh9jjBITw8nDG2LVmyhEaOHNlp8caR8/Xr12Rra0ulpaXk5+dH2dnZZGxszIRsceC2Z9zLly/Jy8uLIiMj6eDBg6SgoEAXLlyg2tpaevHixS/JDzl/e3l5MRVAOAYiTq4bXqCpqanTPKi2trbTs46KiiIWi0W3b9+mjIwMMjY2JlNTU8Ybc926dTyTXPXHChahoaF06dIlWrx4MWlpaVFOTg7zG+c8jp7v3r2jSZMmUUtLC33+/JkiIyPpwYMHPOWZlJKS0ikU7tq1axQUFERNTU3EZrOppaWF5s+fT8bGxiQtLU2jR4+mefPmkZubG+3YsYM+fvxId+/epfXr13PdM4QPH27CNx7w+afz7NkzcnFxIUdHR56rI/2P8Pr1a5KRkSEzMzPS1tam9PR0bovUierqatq4cSOFhITQggULyMLCgpFx06ZNpKamxnz0iTomOj8ubA4ePEjdunWjgoICnmqjtrY2ioiIoIkTJ9LEiRNp8uTJ1NjYSNXV1WRoaEiurq7MziGbzaZXr17RkiVLKDo6mjZu3EhVVVWUkZHBVMfgFd18fHxIRkaGZs+eTQ0NDfTgwQOKjIxkEk79PIHOyMigHj168FxCzh9pbW2lzMxMOnfuHCUlJZG5uTkZGBgwO+/fv3+nhoYGJt9EamoqeXl50ZgxY5gF3qdPn8jBwaHTJJwbvHnzhszMzJhY3d27d9OZM2fI39+fVFVVyd7evtPCIDU1lfH0Ifp115DbC7afKS4uJgUFBdq+fTvl5+dTaGgojRo1imJjY4noj/fk0qVLJCAgQPv376cNGzYwY/muXbuYhJ28xJo1a0hDQ4P27NlDkZGRNGXKFJo8eTLl5eURUUc7HD58mNLS0uju3bvUv39/OnDgAH348KGTMY4Xxomamho6dOgQOTg4EBGRp6cnmZiYUF5eHn3//p2OHj3K5LAh6nB9j4qKori4ONq0aRM9fvy4U5/kFW7evEna2tq0dOlSSkhIoD59+pCPjw9t2rSJVFVVmbb6GX9/fyavEGd85IV2IuroV2FhYWRsbEwRERHU2NhI+/bto0WLFnUKy/jRgJCYmEhGRkZMacng4GAqLi7mlgoMP3ocXL58maZPn06VlZXU3NxMmpqaNGrUKKY88M/Pv66ujkaMGMHkGeE16urqaNq0aUzi6KysLOrRowdJSEgw7VBSUsIYuzdu3EgsFouuXr1K3t7eZGVlRZcuXaL37993mk/x4fPfiAD48PknQUQAAAMDA8yaNQtTp06FlpYW8xuLxeKmeP8wOjo6uHTpEpKSkqCnpwc1NTVui9SJ6OhoXLp0CVZWVpgzZw6kpaUREhKCmTNnIjU1FW1tbdi3bx8yMjIAAKKiojA1NWWuX7JkCa5fvw4FBQWeaaPU1FSUl5fDwcEBoqKiSEpKgoqKCrp06YIXL14gPT0denp6EBISQnt7O1gsFoYMGYJnz57BxcUFFhYWkJKSgry8PCZMmAAAXNWN8260tbXhy5cv0NHRQW5uLvz9/bFjxw4UFhbCwsICAPDp0yeUlZWhvb0dADBo0CAkJibi1atXuHfvHtd0+FuUlZVh165dePz4MYYOHYrGxkaIi4tDXV0d4eHhcHJyQnFxMbp27QoA0NTUxKJFi6ClpQVPT0+kpqZCXV0dYWFhkJaW5poehYWFiIuLw6hRoxAfH4/3799j2LBhOHz4MMrLy/H69Wts374dAgJ/fDo1NTVhb28PAGCz2RAREel0zx/P5QXExMRw7NgxhIaG4ubNm7Czs4OdnR0zVrNYLBARZs6ciYcPH2LFihWoqKiApqYmmpuboaGhgSlTpnBZiw7Kyspw7do1VFVVYceOHVBXV8e+ffvQp08fbNu2DV26dMHatWtRXFwMAQEBmJiY4PPnz7C0tERAQAA2bNiAb9++YdasWQB45zslKSmJqqoqvH79GkeOHMHLly8hJCSEa9euYc2aNTh37hzy8vLQ2toKAMjOzoa8vDzk5eWxYsUKlJWVoW/fvlzW4g/evXsHNzc3tLW1wc3NDS9evICLiwtOnDiBKVOm4NKlS/j69Suys7M7XccZN4WEhCAhIQEAEBQUBMDd8Rz4QzYBAQGYmZmhvr4eUVFRuHv3LlgsFmJjY7Fr1y7m/OnTp+PSpUuYPn06zp49izFjxqBHjx5IT09HZmYmoxc3YbFYaG1tRWhoKKSlpSElJQVdXV0sWLAApqam0NbWhpWVFUpKSn55/hISEtDQ0ICEhATPjXkAIC4uDjs7O5SVleHYsWPw8vKCv78/zMzMMHbsWJSWlqJnz54wNjYGAGzZsgU+Pj44ePAgpKWl0dTUhJs3b2Lw4MFQUlLisjZ8+HAXFnFGQD58/gn8bvLFKxOy/wvV1dXYvHkzBg0aBE9PT26Lw8Bms3HixAloaWnB0NAQZWVlOHjwINLS0pCTk4PExETk5OTA2toa48ePh7e3N1RVVf/m/bj54SciVFRUwM7ODmPHjoW4uDji4uKgr68PKSkpdOnSBRcvXsTYsWOhrq6OmTNnMnK3tbVh69atGDZsGGbMmMHcs62tDUJCQtxSqRNbtmyBjIwMlixZgk2bNkFLSwtXrlyBvLw8Zs6cCSMjI4wZMwaCgoLYsWMHDAwMmPenqKgIvXv35rYKnfjx3b5y5Qo8PDygpqaGyZMnIy8vD2VlZSgpKcG0adMwePBgSElJwcDAgLk+LS0Nhw8fRv/+/bFy5UoICAhwdax4/fo1CgoKoKCggFevXqGiogLp6ekQEBDAypUrsXr1aqxduxbm5ubMu9LQ0AAhIaFfjAa8xP3796GtrY28vDyYm5szhp6AgAB8+PABWVlZcHZ2hrS0NNrb25mFTHh4OFatWoXPnz+ja9euaGpqQnZ2NjQ0NLg6rnP+3xxDnL6+Pi5cuICmpiZ4eHggIyMD79+/x5s3b7B7926oqKhgw4YN6NGjB/Ly8piF9f379yEqKooxY8ZwRY+f+fmZWllZ4dOnT0hOTsajR4+wb98+FBcXY9++fXjy5Any8vIQHh7OjNnZ2dlIT09HXV0dMzZyE44+CQkJWLt2LWRkZLBy5UosX74cEhISGDFiBB4/fgxbW1tERUXh4sWL0NTU/OU+Dx8+hJaWFnr27MkFLf4cNpuNqqoqyMjIICsrC5MmTcLAgQOxceNGpKWl4cyZM5g8eTK8vb2Za7Zs2YLAwEDExcVBT08PxcXFqK+v/5vf5b8KIsLly5fx6NEj2NraYty4cdDS0kJBQQGSk5OxefNmNDU1wdvbG9ra2p3GvPb2dgQHB2Px4sVc1OBXfnynCgoKMHfuXLx48QJXr16Fubk5CgsLMWvWLBQVFeHNmzeQkpJCc3MzREVFAQCbN2/GqFGjoKOjg5aWFvTp04eb6vDhwxv8tY4OfPj8+8KJj+UVWlpaKCEhgY4fP05EHdn7hw8fTp6enhQSEkIWFhaMy/7Tp09JRUWFvLy8mJhRXoTj4p2YmEjy8vKkqqpK2dnZRNThPm5mZkYFBQUUHx9PEydO/KVEHK8lESwqKqLLly+Tq6srRUVF0ZcvX6i+vp6uXr1Ktra2dOrUKfL29qbJkyeTr68vZWRk0Lhx4yghIYHYbPZvE2fxgl4/c/XqVfr+/TstWrSIBg0aREQd4T79+vWjYcOGUVRUFMnIyDChGT+SkpLy2+oRfzUNDQ20adMmWrBgAXl7exNRR2LRLVu2EFFHKS8Wi0UpKSnMNWVlZXT+/HmeqsX+M+Xl5dSnTx/y9PSkcePGMdnPt2zZQiEhITRgwADS09P7bVWJ7Oxsev78OTU1NTHu4rwShlFaWkqzZs2iJUuWkLKycqfSppyyd0Qd+StMTU0pMDDwl+oSRLzzPnHkKCsrowkTJtDp06fpwIED1LVrVwoNDaU7d+6Quro6jR07lhwdHUlVVZVKSkqouLiY0tLSmDJ5P44ZvKLbnTt3KCwsjMzMzEheXp4SEhIoICCA5OTkyMvLiy5fvkx9+/alBw8e/CJzS0sLPXr0iCfGCA4cGXNzc2ncuHHMd/by5cvUrVs3JkH0vn37aNy4cUw+lKamJpo7dy4tW7aMuU9VVRXXywdz3u3Y2FiaO3cuOTk50dy5c2nixIm0evVqcnFxIWlpaVqwYAERdbTn5MmTO+UUKS0tpYiICGpubuaZfpeRkUGbNm2iV69eUXt7O5WXl9Pz589JWVm501whJyeH9PT0aNCgQUwyZs5/z58/zw9T4MPnJ3jPt4gPHx6F4zZJPOKs09DQgOvXr2PBggV4+/YtsrOzMWfOHGRkZKCmpgZ6eno4e/YsoqKiYGhoiFOnTiE2NhZBQUEoLCzktvi/QETMDtqXL1/Qt29fNDU14cuXL0hKSkJsbCyOHj2KtLQ0rF27Frm5ubhy5Qqqq6uZ68XFxZn78YK3S5cuXUBEKC0txbNnz6CiooInT56gT58+cHV1Rffu3TF+/HhERkYiMjISdnZ2GDp0KKqqqtCvXz8sXLgQ375963RPXtDrR86cOQMnJyeEh4dj+PDh+Pz5M8aNG4ctW7bA0dER6urqWLJkCZydneHp6YnAwEDMmTMHycnJAIBhw4ZBRkaGK7L/+C5nZWXBzMwMs2fPhpCQEKSkpCArK4uNGzdiwYIF6Nu3L0xMTJCYmAgAyMzMxN69e3H69Gk0NTVxRf7/ifb2dsjKyiIiIgInTpyAsLAwpkyZgt69e0NQUBCOjo549OgRioqKsGzZMgQEBCAuLg6fPn1CfX09pKSkoKenB1FRUcYbgdsuyY2Njbh79y4mTZqEvn37Yu/evZCTk8OlS5ewYMECAMD169chJCSE4OBgODs7Q09PD6GhocjKyvrlfrzwPtH/3x1ta2vDlStX8Pr1a9y8eROurq7o06cPdu/eDQcHB8TExEBDQwMPHz6EjY0NevbsiYCAABgaGqKkpAQAOu0G84Juz58/h6ysLPr374/6+npoaWkhPj4e9+/fx9y5c8FisdDU1IQhQ4Zgy5YtePbsGXMtEUFYWBgmJiZcGyN+B+e5Xrt2DampqdiyZQsuXLgAW1tbPHv2DIcPH8ahQ4ewfPlyDBs2DFFRUbh16xZERUVx9OhRbNq0ibmPlJQUE87FDYiIebevXLkCERER7Nu3DyNHjkRbWxuMjIwgKSmJvn374vHjx6ivr0d4eDhqa2sxdOhQZGdno6SkBHJycpg6dSpERER4ot8BQI8ePXDy5EmEhoYiJycHgwcPRllZGUaPHo2Ghgbk5+cjPj4e0tLSOHbsGMTExGBkZISWlhbG82D06NGQk5PjsiZ8+PAY3LNb8OHD55+Bq6sriYqK0u3bt4mI6Pbt2yQpKUm3bt2iffv2kZSUFGM5f/LkCfXp04dnS8gREQUFBZG1tTURdSR3c3FxoaFDh1K/fv3IycmJLC0tqb6+nj5+/Eg9e/ak7du3ExHv7LL9GampqXT37l26cuUKk13c3t6erK2tKTExkfT19YnFYtH+/fvp9OnTFB4ezmQY51USExPp9OnTNHfuXDIyMqKioiJydnYme3t76tmzJ+Xn55O5uTnp6urS3Llz6du3b6Sjo0O2trbcFp2I/tilbW9vZ3bfCgsLafny5bRlyxZis9m0dOlSWrp0KRERrVy5krZt20b37t0jDQ0N0tXVpSVLlnBN/r+HqqoqcnBwoM2bN5OwsDD179+fVq1aRU+ePKEbN27QsWPH6Pnz56SlpUXTpk2jpUuXkqSkJPXq1YsmTpxIz58/57YKv/Du3Ttyd3enqVOnko6ODl25coU+fPhACgoKTGm448ePk5ubGxF1VDlhsVg8/T41NzfTvn376PXr19TU1ETy8vK0atUq2rBhA0VFRdGUKVNo2rRpZGFhQVu3bqVZs2aRm5sbDRkyhK5evcpt8X8Lm82m8vJyevLkCfXo0YOePHlC69atI3l5ecrNzaW2tjbatm0bFRQUEBHR1KlTadq0aVRQUMBTngY/wmazKSsri1atWkUzZsyghoYGMjQ0JDk5OSbZ3u3bt0lFRYUeP35M2dnZNGnSJLKxsWH05EUOHjxILBaLduzYQUREDx8+JCcnJzI3N2fG6zlz5pCcnBzzfU5NTSVZWVlasGAB10vr/gyn3Kefnx+tWLGCqqqqSFtbm96+fUv+/v4UHh5Oe/fupf79+5O2tjZlZ2fT48ePSUVFhZydnXl+PsGHDzfhGw/48Pk35cePm7u7O/Xt25eKiopoxYoV5OrqSo8fPyaijprzgYGBzLm8VDrpZ96/f09LlixhJlmxsbFkYWFBX79+JRMTE5KVlaXc3Fzm/MjISGKxWDxVZvJvTTrGjBlD3bt3p4yMDCLqWNi9ffuWRo0aRfv27SNnZ+ffZt3mhYnMz+7qz549o4CAAOZvCwsLsrS0pMWLF1NOTg65uLiQqKgo7dixg6qrq2n27NnUrVs38vT0ZK7htl7BwcE0ePBgpoY5EdGjR49IXV2dKisrydXVlaysrCgiIoLu3r1LAwcOJDU1NdLX16fAwEBKTk5mruO2Lj/DZrOpvb2d5s2bx5SBMzQ0pIMHDxJRR8nF4cOHM1U8AgMD6ciRI9Tc3EwPHz6ktWvXMu7WvMDPC6/Xr1/TwoULSU9Pj3HZNzExITExMVqxYgV9/PiRjIyM6PLlyzRixAhisVh07do1Lkj+t+FUF/n27RvFxcUxx5OTk8nZ2ZlWrVpFX758oUePHtHYsWPJ3d2diIiWLFlC0tLSdOfOHSL6Y7HEq5ibm9OCBQto1KhRNHfuXHr+/DkdOXKEpk6dyhjnqqurafz48bR8+XIyNTXlKRd4Du3t7RQdHU36+vq0YsUK8vf3pzlz5tDy5ctJVlaWnj59SkQdZUE3bNhARB1jJafSAi9y7tw5MjU1pYMHD5KIiAitWrWKNm/eTK9evaJt27YxoVs7d+4kZWVlGjBgABERRUdH04QJEzp9k7nJ7/rKgwcPSE1NjRoaGmj27Nnk7+9P8fHx9OnTJyLqCE/w9/enxsZGamtroyFDhpCJiQlPVozgw4dX4BsP+PD5N6KgoICpb93e3v6LAYHFYjHxlpzF3q5du8jV1ZWIOn9cuT0p+93/v7W1lZqamqihoYHWrFlDurq6VFJSQvHx8WRqakpycnLk4+PDnL9//34SExP7JfcBt2loaGBqd3Pi4devX08LFy4kc3NzGjRoEGVkZND379/Jzs6ODh8+TG1tbWRsbEyfP3/metv8DKcvNTY2MpPj+vp6ampqotbWViopKaHPnz/T1KlTaevWrUREVFFRQStXriRjY2Oqqakha2trZuHz4z3/ap48eUJnzpyhuLg4mj17Nk2aNImIiOLj4+ndu3f07t07Gjp0KKWnp9P169eJiCg/P59evnxJDg4O9ODBg05l8oi4/y79LbKysqi9vZ1mz55N+/btI6KOxYyTkxOtX7+eSkpK6OnTp7RhwwYaO3YsE3/9Y34AbusXHR1Nenp6VFBQ0KnfvHnzhpYuXUrTp08nU1NT2rZtGz19+pRkZGQoICCA5s6dSzExMfTlyxcmdwov8eTJE1qyZAkVFhYyx969e0cxMTG0e/du0tLSIldXV7px4wbl5ORQdHQ0OTk5kZ2dHY0dO5bi4+OJiPvtw4ETw0/0Rxw9ZxH29OlTWrJkCe3du5ecnJxoz549RESUlJREvXr1opiYGCooKKDY2FhqbW2l0tJS7ijxd9DS0kLnzp2jCRMm0IABAxgdx4wZQ/Ly8vT27VuKj48nfX19qqqqohUrVvCs8YqoozRodXU1EXV4/gkJCZGvry8RdRi3EhISaN26dTR79mwi6phrKCkpkaWlJU+VruYYTDMzMykmJobxLPP29qZTp07RzJkzaeXKlZSXl0cPHjz45dpNmzaRhIQE2dradiqzyYcPn87wRgpyPnz4/CmcrO7JyclwcHCAhYUFDh8+DAEBAbDZbAAdsZMnT56EmJgY3r59i5aWFib21dHRERcuXGDO48Dt0oUsFgvt7e0gIggJCYHNZkNISIipjNCrVy80NzcjMTERBw4cwKVLl5CcnIzDhw+jtbUV0dHRKCkpwdSpUzFo0CCu6fIjHL3YbDbCwsJgYmICR0dHAMCYMWMwfvx4AIC5uTmmTJmCa9euoV+/fjAyMkJZWRlsbGwwYMAAbqrwC5z+V19fjxkzZiAnJwehoaEwNDQEm83Gly9fkJGRge/fv6O4uBiRkZFISUnBsGHDMG3aNAgICKB3795wdHTE8ePHO93zryY/Px+5ubk4cuQIsrOzMWbMGMjJyaGurg4uLi7Q09PD8ePH0bVrV2RkZGDq1KkAAEVFRbBYLOTk5EBVVRXdu3fvdF9eifEFgPT0dPTs2ROpqakYMmQIFBQUICAggLVr10JNTQ1xcXEIDg5GUlISbG1t8eHDB6xduxZjx46FlJQU2traAADCwsLMPbmp35UrV7Bv3z5IS0ujW7duaGlpQZcuXQAAI0aMABHh5MmTyMjIwMyZMzFo0CC4urpCW1sb9fX16N+/P1RUVJj7cbuiDNBRurBXr1749u0bBg4ciMzMTAgJCUFOTg5Dhw6FpqYmtLW1oayszJRmNDAwgLGxMRwcHLB792707t0bJiYmPFPNqLGxEbdv38auXbsQHh7OlDSurq6GrKwsdHR0MGrUKLx69QqJiYmIjY2FtbU19PX1YWRkhH79+kFBQQEKCgoAwJNx5pws/MLCwpg1axYEBQVx9epVBAUFQVJSEl27dsX48eOho6ODiIgIqKmp4caNG5CUlMTq1asxbNgwbquA9vZ2sNls5v1ub2+HpKQkAKCoqAhKSkrYu3cvli9fDkVFRXh6eqKiogKioqI4ceIEAGDatGkoKSnBkSNHeKZsYXl5OXr06AEWiwUbGxsICwtj9OjREBERwadPn3D+/Hlcv34d4eHh+PTpE7p164bIyEgoKytj1KhR+PTpE3R0dPDkyRP07t0bYmJi3FaJDx+ehW884MOHh6H/n0SwubkZGzZsQPfu3XH69GkoKipi3bp1jAGBM3nctm0b/Pz8EBYWhnnz5oHNZqO8vJyZbPMCnMl7VVUVPDw8YGtrCzs7O2ZCz5kMV1ZWoqGhASUlJTh//jx69eqFHj16IDExEfn5+TAxMYGNjU2n0nLc4sOHD1BUVGSSep05cwZ6enoIDg5mkmFxDAcA8ODBA4wdOxazZ8+Gg4MDYwyRlpbmhvh/yo+GAxcXF/Tt2xeKiorw8/PD1q1bYWhoiIEDB2LgwIEAgLFjx2Lu3Lmor6/H8+fPkZubiw0bNqCsrIwxCnGrvYgIffr0gaOjI86ePQsbGxusXbsWW7ZswapVq2BsbIw5c+bAzs4OW7Zsgbm5eadn0NTUhPnz56Nfv35/uex/D8XFxXj58iXc3NwQHByM+/fvQ09PD9LS0jA0NMSQIUPQ2NiIkJAQDBw4EHPmzIGNjQ2UlJRw69YtptQaJ1EYL/D161d4eHjg2rVrKCgowKFDhxAVFYWFCxfC3d0dAKCjowMWi4UuXbpgy5YtaGtrg4iICMzNzVFUVNQpiSrA/YSP7969w9KlSzFy5EisXLkSs2bNwtGjRzFp0iSoqKjAysoK/fv3h4KCAmbNmoXa2lpoaWkhISEBXbt2hampKerq6tDS0gKA+4YrzngtJiYGFouFjIwM9O3bF5WVlbCzs8OgQYNw+PBhiIqKIj8/H4WFhfD29kZUVBQ8PDwQGRkJOTk5fPv2jeslQH+G8+6npqbC19cXvXv3RnBwMNrb2yEsLAxbW1u0tbUhIiIC79+/x6NHjzBo0CCIiYmhqakJLBYLffr0wZw5c7itCgCgqakJERERKCgogIeHB3r16tVpLO7RowfGjh0LWVlZdO3aFfPnz8eZM2fg7OyMjRs3gsViISIiAqGhoTh8+DDPGA6uXbuGI0eOIDIyErdu3YKCggIiIyOZb++GDRtARBg8eDBu3LiB/Px8ODo64uvXr7CxsQGLxcKAAQN+WyaUDx8+v8I3HvDhw6P8vHCztLTE0qVLERAQwGRr5hgQOAsyKSkpjBkzBhkZGQA6JsrDhw/niR0P4A+dGhoa4OLigtu3bzMfbDabjbKyMsjKykJISAirV6+GiYkJjIyM0KVLF7DZbOjq6kJNTQ1NTU3o378/AHDdcFBaWgpPT0/o6OjgwIEDOH36NG7cuIFLly6hW7duqK6uRl5eHiQlJaGsrIy2tjYICQnh0aNHGD9+PLOzqKmpCSMjI67q8iM/ttWcOXNgbGyMFStW4O7du7h27Rr8/Pywfft26Ovrg4jQ3t6Ovn37YtasWTAzM0NbWxuICMrKyti8eTOziONGe1VUVEBWVhZ1dXXw9PTEoEGDGI+Q2NhYGBgYIDg4GDNnzoSCgsIvhgMAuH37NhQVFf9y2f8eYmJikJGRgSlTpuDt27e4cuUK+vXrhzlz5mDjxo149eoVPDw8ICIiggkTJkBMTAyJiYl4+vQpjIyMmOciLy/PMztuHz58QHl5OaZPnw5vb2/4+vpi3bp1kJSUhJ+fHywsLJjFy4gRIyAsLAwfHx8UFhYiNjYWAgIC0NDQ4JkFDgdxcXEoKyvjxYsXWLhwIXr37o3ExETcu3cPFRUVzLj2oxE1NTUVq1evRl1dHcTFxTFlyhTGIMztxTaLxWI83WbMmIGEhAQ8e/YMwsLCqK2txdixYxn5REVFMWnSJIiKiqJLly6orq7G8+fPoaSkBAMDA+Z+vEBTUxPzjO/du4d79+5h+/btADrGMPr/lSBmzZoFISEhREZG4vbt28jPz0deXh5WrlwJISEhjBgxgptqdIKjj7+/PzQ0NGBjYwMBAQHk5eWhra0N/fv3h6ysLABg7ty5kJeXh4eHB8aMGQMWi4XIyEgcO3YMJ0+e5BlvPwCorKxEe3s7PDw8UF1djdjYWHz58gV+fn7Q09PDtGnTICkpibq6OvTp0weenp4QEhLC48ePwWazwWazO1Up4cOHz9+GX6qRDx8e5OdFtp6eHpYvXw4BAQHMnTsXmzZtwpYtW7Bjxw4AHZOZ9vZ2AMCUKVNQXl6O3NxcphQdL0zIfjSGzJkzB9bW1jh69CiOHz8ONpuNCxcuwMLCApWVlQAASUlJjBs3jjEcCAgIoKamBsOGDYOGhgaXtfkDUVFRaGpqoqioCIGBgTh37hy0tbXx9OlTAEB8fDyGDh2KyMhIAICQkBBaW1sBAMePH4eZmRkEBQWZHW3igVKgnOfd2NiIZcuWQU5ODitWrEBqaip27twJSUlJ9O7dG76+vnj+/DlYLBZjFBAWFsbt27ehpqbGuC7369cPPXv25IouL168gKurK9LS0tDa2go5OTnG64Bj0LC3t8fWrVsRHx+PnTt3AgBaW1sZw8GDBw/Qq1cv2NjYcEWH/4nU1FTExMQgICAA0dHRSElJwZw5c3Dw4EHcvn0bTU1NEBYWRt++fTF37lxMmDABL168gJKSEpYtW4aTJ0+irKyMCdPgdh8sLS2FrKwsXrx4AVtbWzg6OmLTpk14/fo1Ro8eDQUFBcZDghNmISMjg169emHIkCGMG7aenh7XdPgdxcXFaGtrg4+PDwQEBPD06VMMHjwYxcXFCA8PR3R0NHMuRy9HR0dGV85O6o+eZNwc21taWpCbmwsfHx9YWVlhw4YNUFdXx5MnT1BfXw8vLy9oaWkB6NCne/fujC4jRozAjh070KVLF9TW1jKeSbzA58+fGUPBiRMn8OrVK1y4cIExKtbV1eHGjRuoqalhjCZOTk64ffs2Zs+ejfnz52PgwIEQEBDg+rv0M25ubggICMDixYvh5uYGf39/6OjoYODAgYiJiel0royMDMTExNC1a1fU1dWhrKwMx48f5xnDAefZurm5QUFBAU+ePMGIESMgJCSEp0+f4sOHD7hy5QpmzJiBAwcOoGvXrggLC4OOjg68vLyYMrTc9kbiw+ffDd4Zrfnw4cPAWSh7eHjA0NAQK1euBNCxqOvVqxc8PDzAZrOxdetWJp5ZUFAQra2tEBERwZw5c9CzZ0+eMBoAncMvvLy8YGBggPnz56OlpQWPHz+Gu7s7Xr9+jfz8fOTn50NOTq7Tjhrn4/7+/Xv07t0bbW1tEBQU5Lp+bDYbUlJScHd3h4GBAWpra3HhwgXcvn0by5cvR21tLa5fv44FCxbAx8eHua65uRnCwsJQUlLC+fPnIS8vz/zGCzpxjDxz585Fa2srampqkJaWhgMHDqBLly4IDAzEy5cvcejQIfj6+jIhDABgaWmJxMREANzXBQDExMSgoqKCFStWwNraGsOHD4eOjg6ioqIwbtw4SElJYfbs2bC3t4eVlRViYmLg7u6OmpoaZhdOSUmJ0Y/bO70/UlhYiC9fvmD16tUYPXo0vLy8EBYWBhkZGVRXV+PmzZvw8PDAli1bmJCYtrY2SEpKwtTUlPF+GTRoEDQ1NTvlUOEGLS0tiIqKwqFDh7B+/Xo8ffoUSUlJOHPmDNLT0+Hg4ID79+/jzJkzePToEczNzdGjRw8QEeTl5eHk5AQFBQVmkc1r5OfnQ1ZWFqdOnYKsrCwcHR0hLi6OoKAgvH//Hnl5ebC3t8fFixeZmHRhYWFUV1ejtbUVgoKCPLHQ4bwDIiIiUFJSwqZNmxAREYHs7Gx8//4dgwYNwpAhQzB//nyoqqqipKQECxYsgKSkJHx9faGurg4AqK+vx9evX7FkyRJISEhwWas/YLFYSEpKgp2dHZKSkrBlyxYoKCggPT0dUVFRCA8Ph6OjI6ZNmwYAEBERgbGxMS5evAhdXV1YWFgAAKytrXmiL7a0tKClpQVdu3YFm83GihUr0L17dyxatAjr16/HmTNnwGaz0bdvXwBgchHdvn0bRkZGTM6QBQsWdMqFwi04/Y8zTu3btw81NTVYt24dEhMTMXv2bOTk5CAhIQEXLlzA/PnzQUTw8vKCiooKzp49i9LSUowcOZLLmvDh8+8J979CfPjw6QSbzUZ6ejpsbW2RnZ3NGA5+3Ant0aMHfH19sWzZMqxfvx5+fn4A/khy1r9/f57Jc8D50NfX18Pd3R03b95ERUUFcnJyICIigl69euH8+fMICgqCiooKYmNjf3uflpYWlJeXY+HChRASEuL6Au5Hl/bMzEzIyMhAXV0dvXr1wuTJk+Hq6gpPT0+0tLQgODgYAJCcnAwbGxuYmJigsrISLBaLMRzwwg7Vzx4vOjo6uHbtGsaOHQt9fX3U1dUx7dO7d2/Y2NhAXV0dfn5+eP78OQBAQkKCp+Lmhw4dCi8vL/Tr1w+hoaFgsVh49OgRWCwWoqOjUVlZCSLC1q1boampiePHj8Pf3x+DBg3CsmXL0NjYiAEDBjDu/NzudxyICKGhoXBzcwPQEUuvoKCAuLg4PH/+HEZGRlBUVMSFCxeYMCZOclJBQUGYmppCQ0MDFhYW8PDwAMB93URERKCgoIDevXtj69ataGxsRHh4OObPn48BAwZg2rRpuHPnDiIjI+Ho6IgVK1Yw44ugoCDMzc15Mm65qKgIubm5UFJSQl1dHerq6nD16lWsWrUK5eXlePfuHU6dOoXLly8zxkYOMjIyTAI4XjAcAB39pLW1FTdv3sSOHTtw+/ZteHl5YeDAgdDV1cXMmTOxb98+VFRUwNDQEL169UJWVhYkJCSY/ChAh2HPwcGBSZLITX4cfxsbG1FfX4/Pnz/DwsICjx8/xsWLFxEWFobLly9DSkoK69ev73S9kJAQDAwMMHHiRMajiRcMB4WFhTA1NWU84Xbv3o2DBw/C1dUV27Ztw5EjR1BVVQVra2vGS0RQUBBCQkJYsWIFk1sEAE8YDgAwSYkB4Nu3b+jbty9CQ0OxYsUK9OnTB7GxsRg5ciTOnj2Lmzdv4s2bN3j+/Dl27twJAQEBDBs2DOvWrePJsYIPn38HeONLxIcPHwYBAQFIS0tDX18fpaWl2LZtG4CODzebzWbCE75//46UlBRYWFjg9u3bqKioYO7BS4n3WCwWGhoa4OjoiJEjRyI0NBR79+7FwoULce3aNSxevBjR0dGwtLSEtbU1s9DhLGTS0tKQl5cHERERjB49Gr179+amOgycifzBgwdx584drF27Fvn5+QA6MoW/ffsWw4cPx5cvX3D+/HkAHTs6Dx8+xJo1a3gyYz8nMaCTkxNUVFSwZs0aAB0xpW1tbXj9+jUCAwOxf/9+DB48GFevXsXgwYOhrKwMX19fvHz5ElJSUox7L68gKSmJkSNHYvDgwTh79iy+ffuGBQsWwNXVFT169GAy85eUlKCoqAiioqLw8/PD4MGDISYmBgEBAZ5onx9hsViYNWsWunXrhpCQEDx//hwnT56EgYEBcnNzcefOHdy6dQvz5s2DqakpHj582EkHfX19DBky5Jd7chtO0ryKigro6+sjOjoasrKyUFdXx/Tp08Fms5GSkoLw8HCwWCzGgMCrfPz4Ed7e3tDR0cHRo0ehpaWF/fv3Izk5GXv27EFiYiJ27NiBESNG4PXr1xgwYAAiIyNhZ2cHoGNRyknEykvk5ORASEgIycnJePDgAXbt2oUePXrA1NQU1dXVGDhwIJycnAAAW7ZswbBhw3D06FEICgoyC79evXr9Mg5ygx+r/7S3t6NXr15YtWoVZs2aBWNjY5SVlSEoKAhRUVHQ1dVFYWEhiouLAfwRXtKjRw/Mnz8fCxcuZO7JCzQ2NqKurg7h4eEAgDt37mDLli0oKyvDypUrsXz5cqxYsQJhYWGora1lrps3bx7i4+NhbGzMLdH/lPb2dhw/fhwzZ87EmDFjoKysDDk5OcTGxuL9+/fw9vZm3isfHx9ISkpCW1sbb968QUxMDN6/f49Vq1YB4J124sPn3wl+2AIfPjzAz67Q8vLy8PLygpiYGJPdedOmTcyCtbCwEPPnz4ejoyNcXFzw+fNnxsWaF0lNTYWhoSGWL1+OtrY2bNmyBZcvX8aRI0cwbdo0VFVVQUJCAi0tLcjPz0d2djaamppw4cIFlJSUYNKkSVBUVOQ5HU+ePImoqCjcvXsXly9fxqNHj1BRUQEvLy8MGjQIa9asQXBwMA4cOICPHz/i/fv3iIyMxIQJE3jK/f1H0tLS8PbtW+jq6qK0tBQ7duxAS0sLFi9ejD179uDAgQMIDQ1FQkICSktLYWlpiaSkJLi7u8PHxwchISFMrgNeoL29HY2NjTAwMIC2tjbOnj2LgwcPQllZGV5eXhgyZAiGDh2K0NBQpKWlwdPTkzGacODVthIXF0dJSQnu37+P8ePHo1evXoiPj8eWLVvg6ekJbW1tBAUFobq6GkFBQVBUVISYmBiUlZV5xjPpR8rKynD+/HnIyspi165d2LdvH2praxESEoKYmBgYGxtDV1cXL168AAA8ffoUt27dwoYNG9CjRw8uS/97hgwZgtDQUHz+/BmJiYnIy8tDQ0MDvnz5AhEREUhJSaGwsBC7du1CTEwMdu7ciW7dumHChAkIDg6Gp6cnTyZz41RZaWhoYIwFo0aNQk5ODpqamphv1fbt2/HlyxeEhoZ2Su7La1RWVmLOnDlM+I6SkhJERUUxfPhwXLx4EQAQFhaGjIwMqKurw9HRETdv3uxk2OF4GvDSeKGiogIfHx8m1GLYsGGQkJDA9OnTkZiYiDVr1kBYWBjz589Hz549MWHCBPj5+eHBgweMVxOv0draCgsLC0hJSTH5T75//46ioiKEhoYiOzsbERERUFRUxJ07dyArKwsfHx/k5eXh3LlzaGpqgp2dHVMhhA8fPv9LiA8fPlyFzWYTEVFTUxPdvXu302/FxcW0Y8cO6tu3L23cuJGIiMrKysjKyopOnDjBnNfa2vrXCfxPID09nRYsWECurq5048YNCg8Pp1GjRtHEiROJxWJRt27dSFZWliQkJMjMzIxKSkq4LfIvNDU1UXx8PFVWVhIRUWpqKnXp0oW2bdtGDx48YM5raGggd3d3EhUVpdjYWOY4p925ze/kuHnzJo0YMYIcHBxoyZIlRERUV1dHFhYW5OXlRaqqqvT06VPmfE9PT5o6dSqtW7eOiouL/zLZ/17a2tqopaWFiIiOHj1KPXr0ICsrK3rz5g0RdbRdcXExeXh4UGJiIjdF/bths9nU1tZG9vb2tG7dOpo/fz7t3r2bzM3NKTIykrZt20YLFy5kzt+yZQsZGRmRsrIy3bx5k4uSd6atra3T33l5edTU1ERPnjwha2trmjhxIhERnT17ltTV1UlERIQePXpEREQ+Pj60Z8+ev1rkvxvOu8Xpe3V1dWRpaUkrV65kzvHy8iJTU1MaNGgQnT17loiI/P39SVVVlQ4ePPjXC/0ncHRhs9mdxoxt27aRr68vNTU10fv37ykzM5OIiPz8/EhaWppGjBjBjJGc58CLNDY2kr+/P928eZNWr15Np0+fpufPn1NmZiadPHmSbt26RUZGRpSbm0ulpaVkY2NDCxcupE2bNlF4eDi3xf8tnHZqbGwkS0tLGjBgAPObtbU17dixg/k7NDSUfH19adasWcRisWjQoEGUl5f3l8v8j1BaWkoTJ06kV69eUUpKCpmamlJ5eTmdO3eOJk2aRBs2bKCPHz/SggULSFZWlhn3+fDh84/B9zzgw4fLcNz6fX19cfXqVfj4+GDx4sUAOtw6Odb/4OBg1NXVITs7G3Z2dnB1dQXwRxwzr0A/7br8+Dfn32pqapg4cSI2bdoEU1NTphRlUlISKioqsG3bNsjKymLgwIFoa2vjqTAMjg6ioqIwMTEB0JGPQVNTE71794afnx+WLl0KfX19SEhIIDMzE58+fcKNGzcwfvz4X5I9cRtO/CinOoeysjImT54MYWFhrF27FtbW1igqKoK0tDRERUUxZswY9OzZE+7u7oiIiMDJkychISGB69evd8oDwUsICgoyFUlOnTqFnj17wtDQED4+PtizZw+GDRsGNpsNLS0tnqrk8WfQD27W2tra0NfXR2xsLC5dugRLS0vY2dnB398fmZmZePjwIYSEhFBTU4OlS5eiV69eTL/lJp8+fYKGhgazC80p09qnTx9ER0ejvLwcJ0+eREhICE6fPo2IiAi8efMG586dg6WlJa5fv47du3dzWYtf+XG84/yXEyv+8OFDqKqq4sCBA1BRUYGXlxfmzp2LwMBAiIiIQEVFBbW1tfD29sbcuXPRp08frunxMz/rxOHbt2/49u0b2Gw2REVFmZwGnNKtQkJCCAsLw/z583mmDOjv6NKlC5M76OHDhygsLMSsWbMQExODCxcuAOgIf0pJScGIESOgoaGBq1evQlJSEomJibCysoK0tDTPjOvAH23VpUsXBAcHY9asWbhz5w6srKzg6uqKDx8+AOgIbZgwYQIsLS1RVFSEWbNmYfv27TzV/36G8541NzcjPz8f4uLi8PHxwcSJE3Hv3j0ICwvDyckJjY2NCAgIQFJSEsrKyvD48WMMHjyY2+Lz4fPvDbesFnz4/LeTkpJC4eHh1NLSQsnJyRQcHEzz58+nkSNH/rKTwfFAUFRUpLFjxzLHeWX3mkN7ezsRdezKP3r06Lc7TT/K7OvrS3JyclRWVkZERI8ePSJXV9e/Rtj/JT/KXVJSQmvWrKGQkBAqKChgjq9cuZIuXbpE0tLStGrVKnr58iWZmpoyHiU/79rxChUVFaSqqkqzZ8+mhoYG5vitW7do+PDh5OPjQ9+/f6fbt2/T48ePiYho+/btNHToUFqzZg1zPqf9eZXi4mJauHAh+fn5UUpKCq1YsYLMzMwoPT2drly5QqGhodwW8bfk5OSQr69vp53opqYmIiK6f/8+ERF9+/aNduzYQQYGBhQWFkYNDQ00ZMgQZnexvr6+0z252VZv374lU1NTunjxIhF19DN7e3u6evUqERF9+PCBiIjev39P06dPJ319fdq5cydzfUBAAHXp0oUyMjL+euH/Dtra2ig2NpZSUlKoubmZ2traqL6+nm7dukVERNevXydBQUEKDg6mr1+/0qNHj2jNmjU0c+bMX3ZFuf1Ocf7/wcHBZG1tTfv37yeiP8bDe/fuUUhISKdrfH19acGCBdTS0kJ6enpkaGjIeB/wMmw2m+Lj42nUqFE0YsQIIiJau3YtjRgxgoqKimj79u1kY2NDmZmZ9PLlS8b76mfvGW5QUlLS6fuSmZnJeA60tLTQ9+/fafLkyeTp6UmvX7+mXbt2kZGREQUFBZGDgwPJy8uTpqYmnT59msrLy7mpyt8Nm82miooKam9vp3v37pGTkxOZm5vTly9fmHNiYmJoyJAhNGXKFMrKyuKitHz4/OfANx7w4cMFvn37Rh4eHtS7d2+aMGEC3bt3j6qqqigtLY3Wr19PGhoazESaQ1FREW3atIkMDAzo06dPXJL8z+FMMuvr68nc3JwGDhxIycnJf/PchoYGsrS0ZBYRmzdvZtzkeYWHDx/S58+fieiP8JAnT57QwIEDadWqVcx5bDabnJ2diYjo3bt31L17d9LS0qKkpKS/Xui/gy9fvlB1dTUREUVERFDfvn0pNzf3l/Oio6Np2LBhtHHjRjpy5AgTkuHo6MiE0hDxniHrz2hvb2dkjY2NJX19fdq1axe9fPmSOYfXdMnKyqIBAwaQn58fERGdP3+eLC0tqbi4mGpra5nz8vPzaceOHaSrq0t3796lw4cPU0REBBHxlk75+flkZmZG27Zto6ysLDpx4gSpqanRqVOnOp2XkpJCb9++pZ07d5KrqyudPHmSMUg+fPiQG6L/KT8aZ4qLi2nUqFE0aNCgX4w2HC5dukRCQkKkqqpK586do9bWVlqwYAFPhZQ0NDQw8i9dupSkpaXp5s2bnfrSz/3K39+fZs+eTc3NzXTz5k3S19en0aNH0/fv3/9S2f831NXVMca45uZmIiJSUlKimTNnkpmZGRkYGNCLFy+orKyMevbsSU+ePOl0PbffrfT0dLKzs2PC4mJjY0lKSoq8vb07nXfjxg06evQo1dbW0rNnz0hXV5eGDRtGW7ZsoUOHDnFD9P8zPxrX7t+/T05OTmRoaEj37t2jWbNmkZOTE/n4+FB+fj4XpeTD5z8L3vF15sPnvwglJSXs27cPxsbGYLFYGDZsGLp16wYpKSno6+sjKSnpF5dBeXl5eHh4QE9PjydKW/0Ix129vr4ec+fOxZgxYxAbGwtXV1eEhYVBW1u70/kc13YxMTH06dMHz58/x6xZs6CkpISpU6cC4I2kU7GxsZg4cSIuXbqEAQMGMOEhly9fxuTJkxEYGAgATBKwMWPGoKWlBUOHDsXjx49hbGyMhoYGbqrwW7KzsxEQEIB3795BQ0MD7969Q1tbW6fM59nZ2ejbty+sra0BAJs2bcKECROgr68Pb29vyMvLY8uWLQB4o63+Xjh9r76+Hh8+fEDXrl3R3t4OXV1dALypi6qqKrZt24bk5GQ0NDTg7t27EBYWRvfu3Tsl01NUVMScOXNQXl6OuLg4lJSUwNnZGQBvVFIAOpKdsVgsuLm5wdnZGeLi4lixYgX69evHuLxz2qC2thajR4+GlpYWNm7ciKSkJEyfPh0yMjIwMzMDAJ4IlUlNTcXx48fh4OAAfX19hIWFQUBAAF26dIGHhwfOnDkDISEhtLW1MWPIzJkzISYmBhsbG6SlpUFISAhHjx7lui4c0tPTsXv3bqSmpkJLSwvV1dU4efIkzp49i5ycHCxZsgRA5361d+9evHjxAtevX4eQkBAUFRURERGBLl268ERVBaCjOkJWVhaSk5Ph4OCA+vp6LFq0CKamppg9ezZTZvbu3buoq6tDW1sbzp49i2XLlmHTpk3Q0dFhqkVw4Pa7VV1djcLCQsTFxaFfv37Yvn07U6lETU0N8+fPB9CRPFFAQABdu3aFgYEBpk+fDk1NTeabC/Dm+Pe3EBAQYGQ2NzdHc3Mz1qxZg6amJhgbG8PW1hZdu3blibKZfPj8x8BNywUfPv+tNDU10bNnz+j+/ftUWFjI7Fx8+vSJDh8+TO/evSOi3+9o8FpyRI7lv66ujmbMmEFbt25lfmOxWOTu7k53795lXPc5Lp4c3ZKTk2nXrl2UnZ1Ny5Yt46mEey0tLaSlpUUWFhbMsUWLFhGLxaKUlBTmHA6lpaVE9IeOvLrbwelD+vr6NH78eEpMTKTBgwdTTU0Ntbe306dPn2jnzp2d3D9v3bpF2trapK6uTh4eHsxxbu+6/aO0tbVRXV0dt8X4U6qqqujRo0dka2tL27dvp8uXL5O3tzcdP36cQkNDKSws7E+vLS8vp8bGRjp8+DDPvE+xsbH0+vVrys/PJxaLRXfu3KFNmzZRRkYGnT9/nry8vJh++Ts38KamJkpNTf2rxf67SEhIoOnTp5OFhQWtXr2a3NzcqKqqihwcHKh79+40depURqcfx+/v37/TjBkzyNTUlLKzs5nj3H6nsrKyqKWlhUpKSmjy5Mmko6ND+fn5tH37dpo7dy7Nnz+fpk6dSs7OzvTp0ydG3oyMDEZPbodb/BmNjY00f/580tPTY76zw4cPJz09PXr//v1vr3n16hXZ2dlRXFwcbdmyhfFS4CV27dpFsrKyZGRkRDExMVRfX09r164lDQ2NTh49P7ruL1u2jKKjo7ne3/4ZcHRobW0lT09PLkvDh89/NiwifpFTPnz+SthsNtzd3SEmJobVq1ejf//+ADp2em7fvg0bGxvm2L8L9fX1mDdvHoYOHYp169YBANasWYPW1laYmZlh+fLlqK2txbt37yAvL99ptzAlJQXXrl2DjY0NpKWl0a9fPy5q8gf0/3czTp06hX379uHs2bO4ePEicnJyUFlZCXFxcYSHh0NSUrKTPmw2+5fkYrywO0o/7SiFhYXh8uXLCA0NhaysLDQ0NBAdHY1bt24hOjoaWVlZePr0KZSUlJhr4uLi4Obmhs2bN8PV1ZUn9Ppn8fPz4QWqqqpw4cIFXLt2DY6OjkhLS8OCBQvw5MkTVFRUwNvbG8ePH0d+fj6GDRsGGxsb5trz58+jtrYWnp6eXNSgg5KSEsybNw+ysrL49u0bLCwssHLlSixbtgz9+vXD27dvkZaWBnt7e/j6+vJsOb+/xZs3b7BgwQIUFBQgOjoar1+/RkJCAqZNm4YDBw5AQUEBFy9ehKCgYKe+VlxcjObmZigrK3NZgw6qqqrg7++PESNGoLCwELGxsejSpQuampqgrKyM06dPw8vLC8HBwRAXF4etrS3ExcWxaNEiDBkyBABvjHd/i8LCQixevBgSEhLo27cvunbtihcvXqCyshJXr16FnJxcJy8RAKitrcX79+/x4MEDrF69GuLi4lzUoMMzrKamBkOHDmX6kp2dHbp06YKwsDAAHUlJjx07hri4OPj4+DBeSJz2OXPmDGbNmsXTiSz/t8TFxWHOnDm4ffv2Lx6PfPjw+efAu6M7Hz7/oQgICGDSpEk4duwYLl++DODf23DQ3t6OadOmoba2ljEcLF26FM3Nzdi7dy9iYmIwYsQIDBs2DHPmzMHXr187TSxlZWWhqamJvn37QlFRkVtq/AJnQjZjxgy0tbXB0dERRITLly9j9uzZSE1NBcf2SkTIy8tDa2sro9uPC1FemEizWCwUFRXh6tWrOHHiBCIjIzFhwgQcPXoUvr6++Pz5M0xMTHDhwgXU1dXh8ePHUFJSQmtrK6OnmZkZjh8/DlNTUwC8odc/C14yHOTk5CAxMREJCQnw9PSEj48Pampq4ObmhsbGRri5uUFLSwsAkJmZiYsXL6K5uZm5vrq6GpqamozhgJt7BGw2G7169cLSpUtx584dCAoKol+/fjAwMMDQoUPh5uaGwMBA9OrVC3v37kVwcDACAgLw9u1bfP36FTk5Oaivr+ea/H8vz549g6SkJExMTDB79mzcunULERERsLOzw5AhQ3D79m24uLgA6OhrnDaRl5dnDAe8sJfTrVs3lJWVwcPDA9++fUNcXBwEBASQnZ0NFRUVeHt74+bNm3B0dERNTQ1T9UNTUxO1tbWdxkBeobKyEidPnsTFixdRXFyMkpISHDx4EAICArh16xYmT56MGzduAABsbGxQVVWFmpqaTveora3Ft2/f4OnpyXXDQVtbGx48eICpU6ciPj4et2/fxsKFC6Gnpwd5eXnmPA0NDWzcuBG6uro4dOgQrl27BqBj3C4qKkJVVRVaW1u5pca/BGNjYxw/fhx9+/bltih8+PzHwvc84MPnL4az63ThwgU4OTlh7dq1UFBQwPjx4zFgwABui/cPcfjwYXh7eyM8PBzPnz8Hm83G3r17sWbNGjQ0NODQoUOIjo7G1q1bMXz4cBw6dKhTrHZVVRVPlWMEOu+eubi44ObNm7h+/TpMTExQV1cHdXV1+Pv7o7y8HPHx8YiNjcWIESOQlJTElGbjFdhsNrKysnD48GGkpKRAR0cHU6dOhaqqKiQkJPD69WscO3YMS5cuxYABAzBu3DgMHz4ckZGRADoMRAICAjy1wP5PpbGxEeHh4UhMTERGRgYmTpyIXr16wdjYGCoqKsjIyMCOHTsQGRmJ/Px8LFiwAC4uLrCzs/vt/XjBo6Kurg4uLi7Q0NBAXFwcvn37hunTp8Pe3h7p6en4/v07hgwZAgcHByxYsABycnLYtGkTunbtypQ21NPT46oOv4OI8O3bNxw7dgylpaUIDQ3FvHnz8PDhQ6irqyM8PByPHj1CSEgIJkyYgIEDB2Ly5MncFvt/5NOnTzAyMsKaNWsgKiqK/Px8qKioYP/+/fj27RumTZuGyMhIBAcH4+XLlzh9+jRyc3ORlJSEMWPGoHfv3txW4RcmTZqE1NRUxMfHY9KkSXB0dIS5uTlmzpyJUaNGYffu3ZCUlISysjKWLVsGVVVVGBgYoGvXrlBWVkZlZSVEREQgISHBbVUAAI8fP4aHhweioqIQExODqKgo3Lx5EwsXLoS9vT1iY2Px/Plz7NixA2pqaowBMjAwkMnvUldX9x+ZC4AXxjw+fP6T4RsP+PD5i+G8ciwWCxEREXByckJwcDAWLFjwb+muy+Hw4cNYunQp7OzscPHiRSxbtgzx8fGwsrLCrl27AHS4yldWVuLly5dQUVGBqakpxo0bx2XJf+VHw8GqVavw+fNnAICVlRUWLlyI0tJSWFpaoqmpCRISEjA0NISioiKkpaWxcOFCbor+N2lvb0d9fT26deuG/Px8lJSUQEdHB5GRkTh37hx27twJLS0tPHjwAM7OzjAxMcHFixeZa/9d++a/I62trTh37hxaWlpgYWEBeXl5pKWloampCTExMXB0dMSGDRswefJkzJs3DwBvTprZbDa2b9+Ovn37wtXVFYaGhpg9eza8vLzw+vVrxmAVFhaGsLAwxMTE4OLFi4iPj0deXh6+f/+OZcuWcVuN31JZWYkLFy5g69at8PPzA5vNxps3b+Ds7IzIyEgkJiZCWloaiYmJjLfBj//lBTiy/DjmFRUVQV9fH3V1dejZsyc+ffqE3bt3Y/v27ejWrRv27NmD/Px8hIaGIjIyElevXsXDhw8hJiaGK1euoFu3blzW6lfu3buH5cuXw9/fHwCwYcMGiImJ4ejRozh8+DDq6+vRv39/3L17F35+fpCXl4evry+0tLSwa9cunkn4+CM2NjbQ09ODm5sbTE1NcfXqVdy7dw/Lli1DcnIyoqKi8PXrV0RERODu3buwsbHBoUOH4Obmxm3R+fDh828Mv9oCHz5/MZzJIxHB0dERlZWV8Pb2xrBhwzBq1Chui/c/8uPE90dDyOLFiyEjI4Py8nK4uLhAVVUVISEhsLS0hKSkJHx9fVFcXIzS0lI0NTVBXFwcampq3FSFISEhAUJCQtDQ0ED37t2ZSfSKFStQV1eHGzduYN++fTh69CgmTpyIkJAQ5Obmwt/fH4sXL/7lfry0OPiZbt264d69eyAiPHr0CEOGDEF7eztkZWWxYsUK+Pj4wNLSEpGRkXBwcMD06dNx7do1vuHgL6ShoQGJiYl49eoVlixZAllZWWRkZGDAgAEoKirCkSNHcPXqVbi7uzOGA16NMxcQEICzszOUlZUxY8YM2NrawsvLC0lJSThw4AB0dXWxZMkS3LlzB1+/foWoqCja2tqY0BgOvPJO/WhE6969O6ysrFBcXIxjx45BSEgIycnJAIBbt26hsrISPXr0QF5eXqfcIbygBwfO9+jQoUP4+vUrVq5cCWVlZbi7u6Nv377Ys2cPdHV1UVBQAAcHBygqKsLPzw/i4uIwMzNDUlISMjIyMHv2bFhYWPCM4eDn/qKjowN5eXl8+vQJfn5+EBERgb29PVJTU3Hy5EnMnTsXOTk5WLFiBezs7CAoKAhBQUF8+vSpU+4DXmLp0qV48uQJ8vLyICAgACEhIairqyM3NxcjRozAiBEj0NTUBAC4f/8+GhsbUVdXx2Wp+fDh8+8Ob46IfPj8h/PjpMbLywslJSU4evQoNDU1ISkpyUXJ/hzO4uRH2X9OCDhkyBAsWLAAIiIiOHHiBERERLB69WpcuHABVlZWcHJy4rkyk3FxcXB0dMS4ceOwceNGZocpJiYGYmJiCAoKAgAYGBjgxo0bCA4OxvDhwzF9+nRMnz4dQMcu8Y+hCtxeHHDa4+cJdG5uLhISEuDj44Ply5dDW1sbQUFBEBQUxPz583Hr1i3cu3cPI0eOhLGxMc6cOYPNmzejuLi4Uywtn38t4uLiEBQURFRUFHx8fFBeXo6+ffuie/fukJSUhLy8PGpqasBms5m24SXDwatXr9C9e3fk5uZCU1MTcnJyYLFY2Lt3L/r06YPExEQcPnwYnz9/xuDBg3H9+nXk5OTg+/fvKCkpQUFBwS8JBLn9Tn369AkaGhqM4aCsrAyysrLo378/3N3dAXQYIaOjo1FfX4/Pnz8jKCgI9+/fh7u7O4KCgjB06FBuqvAL9fX1qK+vR8+ePfH48WMICwszi/9evXpBV1cXAQEBmD9/PqSkpBASEoJt27bhy5cvGDt2LAwNDeHo6AgPDw8ua/IHf2ZkkpWVxaZNmzBx4kTIyclBWloa9vb22LFjByoqKnDmzBnY2dnh69evEBQUhJ+fH968eYPnz5/zxDeZzWYjNTUVbDYbgwYNgpiYGHr27Ik9e/YgNTUVkyZNQkJCApSVlSEuLo6kpCQMGzYMXbp0wcWLF9G1a1csWbIEU6ZM4bYqfPjw+XfnX1rLgQ8fPn8XL1++pBkzZvBMWbU/o7q6msLDwykqKor8/PxoxYoVVF9f36ksl6+vLxkZGVFQUBCVlpbS69evqXfv3lRYWEhEf5RU4oXyUNevX6exY8dSv379aM+ePczxr1+/0vnz56mmpoY51traSg8fPqSamhr69OkT2dvbM6UZeQlOWzQ2NtKiRYvo1KlTnfQgIsrJyaFPnz5RSkoKTZo0iRoaGoiI6OHDh2RpaUkfP35k7lVfX//XKvBfRGVlJSUkJDB/f/nyhQoKCoiIKDc3lxwdHSk7O5sp75ebm0sTJkyg+/fv086dO0lSUpIePnzIFdl/R2lpKd27d48GDBhAZ8+eJVtbWzp69CgdOnSIKVtaV1dHM2fOpOXLl9PevXtp3LhxtH37dkpOTqb6+nry8/Oj79+/88T4wOHt27dkampKFy9eJKKOsqX29vZ05coV5pzs7GzauHEjDRs2jFRUVJh36sGDB2Rvb0+Ojo5UUVHBFfl/hs1mU0tLC127do3mz59Pa9eupVGjRlFOTg4VFhbS+/fvKSoqilpbW6mhoYFu3rxJ69evp1WrVpGEhAStWrWKVq5cSYqKivTo0SNis9k8016c9+fSpUu0Y8cOevPmDRF1jGXV1dWkr69PLBaLNmzYQEREt2/fJiUlJQoKCqKWlhbKzs6moKAgEhUVpadPn3JNDw6VlZXMv7W1tcnc3JwaGxuJqKMkq4ODA718+ZJu3LhBFhYWFBAQQCEhIbRjxw7mury8vL9abD58+PwHwztbFXz4/Bejq6sLOTk5xMbGcluU3/L8+XOcOXMGwcHBuHfvHi5evIiAgAAYGhpCXFwcAgICaG9vBwBs27YN5ubmCAsLw7Vr16CtrQ0dHR2IiooC+GMHkds7iTdu3MChQ4cQEhKC1atXw9zcnPlt3rx5cHZ2RlZWFoCOXR8hISGMHTsWYmJijMu4nJwct8T/LRyPA07pzNDQUNy6davTzllbWxuUlZWhrq4OVVVVvH37Fps2bQLQUU1BTU0Nz549A9Dhcs7tzOL/qTQ0NODq1auwtrbGuXPnUFdXh3Xr1mHlypWora2FoqIiTp48iX79+kFISAhFRUVYtGgR7O3tYWRkhKKiIjQ1NaGoqIjbqgAAHj58iC1btmD48OH4+PEjBAQEMGzYMHh6eiI3NxcLFy5EdnY2Ghsb4eLiAhsbGxQVFWHp0qWIjo5GeHg4CgoK0L9/f3Tv3p3r48OP9OjRAwICAsjKysKXL19QVFSElJSUThn5+/Xrh3nz5sHKygoyMjKorKwEAIwbNw6Ojo6YMGECZGRkuKVCJ1gsFoSFhaGjo4OTJ0/iwoULUFBQwM2bNzFt2jTs3bsXXbt2RWFhIcTExDB58mSUlZWBiBAYGIjBgwcjKCgI8+bNg4qKClgsFk+017Vr1zBjxgxkZWXh8uXLOH78OFRVVQF0jGXdunWDi4sLHB0dsXv3bpw6dQoTJ07EoUOHcPjwYbi6uiI4OBi+vr6Ii4uDoaEhV/U5d+4cVq9eDQA4dOgQZGRkEBkZiS5dugDo8KbYu3cvdHV1UV1djadPn8LIyAgSEhKdEoz26dMHAG9U8+DDh8+/P/ywBT58uAxnwWdra9up3Bqv0NTUhDt37iA4OBiJiYmYOnUqFi1ahKioKAwYMAAJCQkYM2YMBAQEGF02b94MNpuN7Oxs3Lp1C0pKSjwzcQb+MBwEBQVh4MCBuHjxIvr16wegw1BSVVWFR48eYfjw4SCiTuUXOaXm9PX1uajBr3DkrK+vh6urKywsLDBw4EB8+PABLS0tuHPnDu7evYu2tjb4+/tDXl7fIgvfAAA0RklEQVQeT548gb29Pb58+YLNmzdj8+bNGD9+PHr16sVtdf7jERcXh6mpKZydnRESEoK2tjZMmzYNs2fPxqhRo7BixQqm/np5eTns7e3h5OQEFxcXvHz5ErNnz4ahoSFmzZrFZU06KC4uRkFBAaysrODq6op79+5hx44d2Lp1K+Lj46GnpwcBAQH06NEDkyZNQm5uLu7duwdnZ2fo6uoiLCwMrq6umDRpEgDeyXHQ2toKFosFNzc3ODs7Q1xcHCtWrEC/fv0wcOBAAH/IykkKqa+vDwUFBeb4jxUWuK1XQ0MDxMXFERgYCBEREcyYMQM+Pj7Q1dXFwYMHkZKSAh8fH5w8eRI5OTl4+vQpQkJCUFFRgZCQEOzfv5+Jo9+8eTPX9PgdHCPGkiVLUFFRgbS0NIiJiaGtrQ2CgoJgsVjo168ftLS04OLiAisrKwCAu7s7ZGRksHnzZjQ1NeHly5dMKVRuUllZiYsXL4LFYqGwsBDXr19HcnIyHj16BFVVVcyZMwc9e/YEAOjr6yMsLAx9+/bFzJkzcfXq1V/uxwvvEx8+fP4D4J7TAx8+fH4kPT2dbt26xW0xfktpaSl5eHiQpKQkjRw5ki5dukRERAoKCuTr6/un17W0tNDr16/p8ePHRMQboQoc906Oa35GRgYZGxtTfHw83bt3j8zMzCgxMZGIqFM4BofIyEi6fPnyXyrz/wTnuba0tJCbmxtt3ryZiIiOHj1KsrKydOjQIRozZgxZWVnR0qVLKS0tjTm/paWFDh8+TOrq6rR48WK6cuUKlZeXc02X/wZKSkqooKCAGhoa6M2bNzRt2jQyNzenzMxMSkhIIAEBAQoJCSGijj6YkZFB9+7dY65vamrqdL/f9dO/iry8PAoPD6fm5mZqbGwkbW1t6tGjB4mLi9PMmTOJxWKRvb09ZWRkMLK2tbUREVFoaCjFxsbShw8fKDIykms6/I47d+7Q69evKT8/n1gsFt25c4c2bdpEGRkZdP78efLy8mLCSdrb2zuNbZzjvEZhYSFdvXqViIg2btxIbm5utHPnToqLi6P4+HjS1dWlPXv2UEBAAGlra9ODBw/I39+fdu/ezeh0/vx5Kioq4qYav1BXV8f829XVlXr27Enz589nQhiIiOlz1dXV9Pr1ayIiunnzJgkKCjLvGpvN5okwrR/70vTp00lUVJSOHj1KRERHjhyhcePGka2tLVlaWlJsbCxzbk1NDS1evJhMTU3/cpn58OHz3wPfeMCHD5+/CWcik56eTn379iVhYWGKiYkhIqJz587RkCFD6MuXL8Rms+nJkydUUlLCXJuWlka7d+/udIybvHjxgoYPH84YDog64sg1NTVp6NChNGTIEEpKSiKi3y8ASkpK6OXLl3+ZvP8bGhsb6eXLlxQXF8cci4qKokmTJhFRx+T5y5cvFBcXR1lZWUT0x6KzoKCA5s6dS87Ozjy3MPhPgrOACQ8PJ3V1dVq3bh19+vSJwsLCaOrUqbR8+XKqr6+nCxcuEIvFYox0PxoHeMEAx6G9vZ3Onz9PampqRER06NAhmjhxIqWlpVFNTQ0dP36cFBUVSVVVlSIiIqiqqqrT9bdu3aJnz551OsYL+hUXF5O1tTW5uLiQqakpbd++nRobG8nDw4N27NhBdnZ2NGTIENq2bRsR/dGuvE56ejopKyuTiYkJKSkp0e7du2nZsmU0atQoGj9+PJ07d472799PJiYmdOHCBXJxcaFRo0ZRS0sLEXUYWjds2EBlZWVc1uQPYmJiaOXKlUREtHfvXpozZw5dunSJ1NTUyNPTkz58+MCc+/37d8rOzmbyURB1GJNZLFan/BW8woEDB2jq1Km0efNm6t27N61cuZJMTU2ptLSUzp07RywWi6ysrJjzi4qKaOfOneTt7c1Fqfnw4fOfDj9sgQ8fPn8KJwwhMzMTixcvxpkzZ/Dx40fMnz8f8+bNg5qaGrS0tFBbW8vE0Z48eRKenp7o3r07iAjz5s3jmZAFDQ0NXL58GaqqqmhvbwebzUbfvn2xceNGeHh4QFlZGY2NjUyOA/rJxVhOTo5xE/35N27S3t4OW1tbaGtrY/v27UhOTkZjYyNEREQYPQUFBZGSkoIdO3Zgz549UFVVZcIxFBQUEBgYCEFBQUhLS3NXmf9gOJn6r1+/jm7duuHGjRsYNGgQHBwcoKysjK1btyIsLAwLFy5EVlYW3NzcICkpiQkTJjD34JU+B3TEkevr66OmpgZHjhxBQ0MDjh8/DkVFRSQmJiIyMhIPHz5EREQEfH19UVtbCzc3N6b03aRJk8Bmszvdk9v6sdls9OrVC0uXLoWTkxO0tLTQr18/GBgYYN68eUx4mZubG/bu3QsZGRlUVVXBysoK3bp1g4CAAOTk5CAhIcFVPX6HmpoazMzMUFJSAg8PDygqKuLFixdIT0/HkSNHkJ2djZSUFBgZGWHfvn0QFBTE/fv3ISwsjLa2NkhLS8PDwwM9evTgtioAOtqqpaUF+/btw5cvXyApKYnTp08jODgYMjIySEtLw/Hjx+Hu7g5tbW24u7vj8+fP8Pb2hqurK9hsNqZMmYKYmBgMGjSIq7r8/D35+PEjiAihoaGQkZFBfn4+Dh8+jJ07d+Lp06e4dOkS4uLiYGdnh6CgIHh7e6O1tRWenp6QkpL67T358OHD558BP2EiHz58/hSO4WDlypVwd3eHiYkJJk2aBHd3d3z48AHnzp3DxYsXERERgfLycggJCSEhIQEuLi74+vUrNDU1ecZwAACSkpJQVVVljCLCwsK4f/8+QkNDERYWBikpKfj6+uL69esA/qiBzuF3ZSp5AUFBQWhpaSEtLQ0AcObMGQQGBkJGRgYmJiYQEBBAfn4+9u/fj40bN2Ls2LEAgMOHD+Pu3buoqKiArKws33DwL6S1tRWXLl2CqqoqXF1dkZSUhOLiYgQGBuLx48cYM2YMXFxc4O/vj/T0dKxbtw4uLi5Ys2YNk7iT1yAi9O7dG9LS0ggICIC4uDgUFRXx4MED+Pn5Yfbs2VBTU8OWLVswceJEJCYm4t27d/j69StTb56XSkwCHfLU1dXh2LFjmD9/PhoaGrB69WoYGRlBW1sb0dHRuHjxIlauXIm2tjZkZ2dDSEgIhoaG0NfXh4ODA1JTU7mtxp+iqakJVVVV+Pr6QlhYGDk5OWCz2bh58yY+fvyIK1euQF5eHtXV1ZCSksKzZ8/Q3NwMISEhdO/enTGechvOGD516lS4u7sjOjoa6urqCA4OxqtXr/Ds2TPs2rULDx8+xMmTJ1FdXQ15eXlYW1vD1dUVwB99b8KECVBRUeGiNh3fk9bWVhw7dgwODg7YsmULDAwMICMjg9jYWHz58gXe3t7YunUrNm7ciGPHjkFISAiKiorIyMjA/fv3kZSUxBgOOPfkw4cPn382vPXV5sOHD8/Q3t6O9+/fQ0dHB7q6urC3t2eyOXft2hUHDhyAnZ0devfujZMnT0JHRwfjx4/Hs2fPUFFR8cuOIi/BSaz16NEj7Ny5Exs3bsTUqVNx7tw5tLe3IygoCFFRUcy5/w4MHz6cMR6IiopCSEgImZmZUFdXR0VFBaZPn46nT5+isbGRuebo0aMIDQ1FW1sbt8T+r0FYWBjDhw9HWVkZwsPDYW9vj+PHj2PChAnw9vbGnTt34OTkBCcnJ2zbtg2CgoIYMmQICgoK8P37d26L/1tYLBbExcVhaWkJb29vhISEYNOmTdi7dy+8vb3x+fNn2NjYAOgwVCkpKcHFxQXW1ta4f/8+l6X/PWw2G/v27cPkyZOxbds2AMD69etx+PBhdOnSBaGhofj48SOTpT83NxerV69GTEwMgoKCYG9v3ynTPa/AMYKOHz8eI0eOxKdPn3Ds2DGsWbMGgwcPRnJyMk6cOIGzZ8/i9evXSE9PR0NDAwICAphEvsLCwkzVHG7DWfjv3bsX1dXVOH36NHbu3InDhw8jLCwMAJCZmQkRERGkpKRg/vz5SE1NxYQJE3Dnzh2eNciNHDkSOjo6YLFYUFRUREFBAfLz83Hq1ClMnToVvXr1QlFREWJjY5Gfn49ly5Zh6NChOHbsGK5du8Zt8fnw4fNfAD9sgQ8fPox7I5vNRlNTE8TFxSEoKAh1dXVYW1vj1KlTmD59Oi5evAg1NTWsX78empqacHV1RdeuXXHnzh3Y2dlBUlISmpqaEBER4ekSfywWC/Hx8di4cSP27NmDUaNGoaWlBf369UNCQgKGDh2Ko0ePwtjYmGd22jj8rq0AwM7ODpmZmXj06BHS0tLQu3dvTJkyBcXFxfDx8cGkSZNgb2+P1atXo62tDUpKSujTpw8CAgL41RX+haSmpqJv377o1q0bBg4ciJcvX2Ly5MmQlpbGjBkzMGPGDMjLy2PdunVoaWmBrq4ubt26hezsbISEhKC9vR0tLS3cVgNAh/eEsLAw8zcRob29HYKCgrC0tESXLl2wa9cuTJ8+HdbW1mhoaMC1a9dw/PhxaGlpQVJSEoGBgZCXl8fw4cO5qMmfIyAgAGdnZygrK2PGjBmwtbWFl5cXkpKScODAAejq6mLJkiW4c+cOvn79ClFRUbS1tcHU1LTTfXjNZZwjS7du3VBcXIwjR45g+vTpTPlMNTU1HDt2DKGhoXB2dmaOffv2jWf638/PNCkpCffu3UN4eDhkZWXRvXt32NjY4NSpUxAREUFUVBRSUlJgaWmJ58+fQ1xcHKtWrUJaWhr8/f2xbNkyJoSG27DZbAgLC2PkyJEYOXIkamtrUV9fj/Xr18PLywufP39GUFAQ3r17h9DQUKxbtw6BgYEwNTXF9u3bkZCQgDt37nBbDT58+PwXwBujJh8+fLhOW1sbNm7ciP79+2Py5MmQl5eHiIgILly4ACcnJwwbNgxeXl54/PgxAgMDMXnyZLx//x5CQkIYPHgwxo8fz20V/m6am5sRHx/PGA6ICCIiIgA6ymO1tbXh9evX+Pz5M88ZD4Bf26pnz54QEBDAt2/fcO3aNTg5OaGtrQ2ZmZnYv38/fHx8MHz4cJSXl6OtrQ1r1qyBtrY2Dh48CGVlZW6r8x9LTk4Otm/fDjExMRw7dgzCwsJQV1dHdHQ0DAwM4Orqii5dumDx4sUoKCjAsmXLEBQUhOLiYrx79w7+/v5oaWmBsbExt1VBeXk5Nm/ejF69esHPzw8AUFNTAykpKcyYMQPq6upQVVWFmJgYXFxcMHDgQCxcuBCnT59GZWUlDAwMMGLEiE471xzXc27z6tUrdO/eHbm5udDU1IScnBxYLBb27t2LPn36IDExEYcPH8bnz58xePBgXL9+HTk5Ofj+/TtKSkpQUFDwy3vES4aDH1FWVoa3tzcEBQWxc+dOvHnzBlFRURg1ahQkJCSwe/duBAYGwtDQEDt27ICgoCC6d+/ObbEBdDzTlpYWnDhxAs7OzjAwMMClS5fQrVs3tLW1YfLkyYiMjISzszNkZGSQl5eHo0ePori4GOfPn0f37t0hLS2NzMxMaGtrc91wUF5eDhkZGRARBAUFGUMc0OE9lpiYiPT0dERGRkJMTAwXL16EqKgoPD09UV9fD09PT5iYmCA3NxePHj3CkCFDuKoPHz58/jvgGw/48OEDFosFISEhqKmpobCwELW1tZCXl2d2es6cOQMRERFcu3YN27dvx+rVq3H37l2EhYVBQkICCgoK3Fbhf4WoqCjWrl2LLl26dNrNam5uZkIZ5OTkYGRkxGVJf+XP2goA9PT0UF1djbFjx+LmzZvw9/fHlClT0KdPH9y/fx8WFhbo3r07hg0bhmPHjqFv375c1uY/l/LycqSkpGDkyJGIjo5GQkICxo0bh/b2dqirq+PZs2ewtrYGi8ViXKhtbW0hJSUFUVFRjBkzplO+EG7vZDc1NeHbt2/o1q0bAODmzZvYsGEDbt++DTU1NQAdbu3Ozs5ob2+Hu7s7lJWV4eDggOLiYgD4ZbHGbcNBWVkZ3r59i0WLFsHPzw/R0dEwMzNDe3s7pk+fDmVlZdTX1+PgwYNQVFTEqFGjcPv2bZiZmcHd3R1qamrYtWsXunXrxvX2+d8gKCiI6upqvH//Hrt27YKKigqUlZVx+PBhyMnJwdTUlGlnXqK9vR0xMTGIjIzE169fERgYyDx7Tt+ysbFB165dMWHCBCxZsgSfPn1CSkoKsygHwBPj3tevX+Hr6wtvb2+MHDkSpaWlCA0NxejRo6Grq4vv37/DysoKxcXFCAsLw8iRI9HY2MgYcoyMjKChoQFBQUFcu3YNAwcO5LJGfPjw+W+B+yZ/Pnz4cI3CwkJkZmYCAL58+YKsrCz4+vri1atXAP7YPRMSEsKRI0cwcuRIWFlZITk5GXl5eRgwYABMTEzg4ODANR3+Ubp06QKg8w6hiIgIpk+fDjs7Oyap4I8JE7nJ/9RWQMfi08/PD8OGDUNaWhqkpKQwfPhwHDx4EBoaGrh9+zYiIyOxf/9+nphA/6dSXFyMBw8e4PXr11i4cCFEREQQHx8P4I+KCxoaGrh16xaqqqqwZMkS7N69GxISEjA3N4eFhcUviUa5vTDt06cP5s6di8zMTJSUlODWrVuQlpaGnJwcZGVlO53r6uqKvXv34uTJk3j16hW0tbUBoNMCjts8ePAAW7ZswfDhw/Hx40cICAhg2LBh8PT0RG5uLhYuXMi49Lu4uMDGxgZFRUVYunQpoqOjER4ejoKCAvTv3x/du3fnevv8b5GSkkJYWBgGDBiA/Px8SElJgcVioa2tjTEc8MrYB3TI8urVK0hKSmLy5MnIyMhAQUEBgD8S23Ly7FhaWsLZ2RlZWVkQFBTE169feTIHT3l5Oc6dO4eSkhKcO3cO58+fx5s3byAiIsK8U3PnzoWLiwtevXqFjRs3IiEhAbNmzcKRI0dgZGSE4OBgvuGADx8+fyl84wEfPv+l5ObmYt++fTA2NsbevXvx7t07NDY2wtraGtOmTcORI0ewf/9+lJeXAwDExMSwf/9+qKqq4sqVK7h+/TpsbGyQn5+P9vZ2Lmvzz4HFYjFGhR+PcZv/qa0OHz6M/fv3Q0BAAFpaWqivr4e4uDh0dXXR1NQEaWlpVFZWIiwsDEeOHOFPNv+FVFVV4cGDB6iursbjx4+ZhWnv3r0BAJGRkcw7paGhgZcvX+LEiRO4ePEi9u/fDwDo168fl6TvTENDA+7fv49p06bBw8MDvXv3xpgxY3Dz5k3Y2trC09OTeV9+jotftmwZLl26BHV1dairq3ND/L8JJ9zAysoKJ0+exOXLlzFt2jRs3boV8fHxUFZWhoCAAHr06IFJkyZBWVkZ9+7dQ//+/aGrq4uwsDA0Nzdj0qRJAHhrof33wslf0a1bN8yePRs9evTo5B3CC2Mf0OFxkJiYiHPnziExMRFOTk54+fIl0tLSGKMAi8ViPFk2bdoEUVFRbNu2DfX19airq+O6l8vPqKioYMKECfj8+TPu3r0LNzc3LFq0iKmWICgoyOjm6uoKJycnPH78GIWFhRg5ciR27NgBf39/9OnTh5tq8OHD578QftgCHz7/pSgpKWH37t0YOnQo1NTUoKOjg4sXL+Lu3bsoLS3F/v37MXHixE41vfv27YsxY8YgNTUVGhoaAIAZM2ZATEyMW2r8V/A/tdWBAwdgZWXFTDwlJCRw6NAhiImJwdjYGFOmTIGWlhZCQkL45Rj/RbS0tEBERARtbW1QVFREv379kJ6ejsbGRkydOhUfP37EhQsXcPDgQeTn58PDwwNEBHFxcYwePRpaWlpM+1lZWQHgfqiCuLg4LCwsUFVVhfj4eEREREBERARubm64d+8e8vLyYG9vj4iICNy9exfjx4/HzJkzmfwhly5dgqioKE/l1cjPz0dCQgJmzpyJGTNmQF9fH5s3b0ZDQwNERUVx5coVzJo1C0uXLoWysjLYbDaICEpKSli2bBkKCwvh4eEBY2PjTjHmvLLQ/kfIysrimbwGv+Pz588oKSmBuro63rx5g4qKCmhoaEBbWxufP39GREQEli5dCllZWRw8eBDp6ek4f/48oqOjoaioyDPJOd++fQsFBQWIi4tj7ty5GD16NEpLS1FXV4fKykqoqKgwHm8cYwcnL8isWbPw7t072Nvbc1MFPnz48OF7HvDh899MXl4evn//DnFxcYSHh0NPTw9z586FpqYmxowZgwMHDuDhw4dwd3fH69evISgoCFdXVwgJCTHl/fiGg7+G/6mtDh48yLTVq1evICEhgcePH0NISAhubm4A0KkGOJ9/HrGxsYiJiUFmZiYMDQ2ZPBQ2NjYIDQ1Fa2sr5OXlsXz5ctjZ2cHc3Bzu7u7Iy8tD9+7dMX/+fMyYMYNZMHB2f7m5IE1PT8eVK1dw+PBh2NraYsWKFdDQ0ICnpyekpKSwa9cumJubg8ViISMjA0lJSRAREWEMBy0tLVBTU8O8efMA8MbOPJvNxuPHj+Hv7w8RERGcPHkSioqKSEhIQHFxMSwsLKCgoIBXr17hzZs3qK6uhoCAABNu0bNnT3Tr1g1DhgyBnZ0dAN7Q6/+KlpYWpk+fzm0xOpGXl4empiZUVFQgPT0dmpqamDZtGhobG1FaWgoTExOsXLkSO3bswMuXL5GQkIBXr16hZ8+eiIiIgLCwMFpbW+Hi4gKA++1UVFSEoKAgrF+/HseOHUN6ejocHR2xd+9e9O7dG0FBQXByckJycnInTz7OmBAfH4+EhATk5eVxSwU+fPjwAcD3PODD578OIkJTUxOam5tx4cIFBAUF4du3b1i/fj169OgBDw8PqKur4+rVqzh48CBCQ0NRW1vLxMb27t0b6urqPOcG+p/IP9pWAwcORHl5OUxNTREfH8+01b/z7igvU1xcjLVr12LkyJEYMGAAxMTE0KdPH4wbNw6Ojo7w9fUFEUFVVRWPHj3CgwcP4OjoiMGDBwMAsxDlFVpaWlBYWIhnz54hLS0NT58+xdixYzF69Gj06dMHHz9+hKGhIUxMTFBUVIQ3b95g+/btmDlzJgAw1UtGjBjB/M0LfU9AQAD6+vqoqanBkSNH0NDQgOPHj0NRURGJiYmIjIzEw4cPERERAV9fX9TW1sLNzY0x5kyaNOmX2Hle0Ov/yo/lN7kNEaG6uhrLly/H/PnzER8fjytXruDGjRvIycmBg4MDIiMjMXToUHz69AmPHz/G8+fPERwcjOfPn2PXrl1gsVgoLy9HdnY2nJ2dAXC/nXr37o3Zs2dj5cqViI+PR3x8PAIDA5GdnQ1DQ0M4OjoiOTkZLi4uWLRoEfr374+pU6cC6HgmGhoamDdvXidPQD58+PDhBnzjAR8+/2W8f/8emzZtQrdu3dDc3Iy5c+eiuroaLBYLnp6e6N69O5KTk7Fy5UpISkpi4cKFOH/+PObMmYNx48bB1dUVs2fP5hsP/gL+0bZydnaGubk5XF1duT5p/m9g9OjR6N27N2xsbCAqKoojR47gwoULmDVrFiwsLLB27Vo0NTVBW1sb9vb26NatG2xtbQEAra2tPLV4AzoSh5qZmaFPnz4oKirCly9fYGZmBjk5Obx//x4sFgtDhw7Fhw8fEBAQgKlTp3baif+5z/FKHyQi9O7dG9LS0ggICMDq1auhqKiIBw8eYPv27ZgzZw7U1NSwZcsWVFRUIDExETo6OujevTt69uyJrl278se9fzEsFgvS0tLQ1NTE9OnTMWHCBHh4eCAuLg7Lli2Dra0tlixZgsmTJ0NDQwMWFhaYPHkylJSUcPPmTQAd7dyjRw84ODhAUVGRyxr9QWpqKmRlZSElJYXRo0dDWloaJ0+ehLj4/2vv3qOirPbHj79HTRQERUFEvGQc1BQvYIpiGpiSx8zb4eKNAAlTWGpk6ekcdcwUC1oohklp5g1FD6SieYkowJQs8UYKeMkMRQUlDUGcEfbvD9fMF9Ljt/X9ec4M+Hn95bAen7X37Hlmnv159v58LLl9+za+vr6kpqZiaWnJwoULWbFiBTqdjr59+xIUFERoaKis9BNCmJz8CgrxBKi5ZLNjx4506tSJTZs20aNHD6Kjo8nOzmbs2LEcPXqUd955B7ifsGnKlCl89NFHjBkzhj179uDp6QlQq1a7eLwex1jt3bvXLMtM1lfOzs54enqSmZnJpUuXyMvLY+/evfj7+xMZGcmuXbtwc3MjKiqKgIAAvL298fPzo6ioyOwCBzVdv36dqKgoXFxcsLOzo6CgABcXF2xsbEhNTWXMmDH06tWLqVOnAve3BZhLoOBhNBoNlpaW+Pj4MHv2bD755BO0Wi2xsbHMnj2bs2fPMm7cOADi4+Pp0KEDQUFBjBw5krS0NBO3/skyePBgXF1dWbduHadPnyYrK4vTp0+zY8cOsrOz+fjjj0lLS6Nt27aUl5ejlKKsrKzWOQxJSk2l5iqVxMREMjMzSUtLw8LCgp49e7Jjxw5atWrFG2+8QUREBMHBwTg5OXH48GEOHjzIiBEjaNasGT/99BNOTk5YWlqasDdCCHGfBA+EeAIYbuivXbuGlZUVMTExzJs3jyVLlpCXl4e7uztPP/00jRo1Ii4ujuzsbK5evUpUVBQvvfQSubm5JCcn4+zsXOt84vF7XGP1zDPPmLgn9V9ZWRk3btwAYPLkyaSkpPD999+zadMmvvjiCywtLdm/fz979uwhICCAt99+m6VLl/Lqq68a99abg1u3blFSUmJ8XVxcTHV1NS4uLpw7dw4LCwuKiopo3749tra22Nvbo9frcXR0pKCggPPnzwOY3VN5vV5f67VSinv37tGwYUN8fHyYMWMGGzdu5Nlnn2XkyJH07t2bvLw8Pv30U7Kzs7G2tiYmJobExESzywlQ3xnyT4wfP57+/ftTVFTE3Llz+eCDD1i6dCkpKSl8/PHHnD9/nsTERDp16kRQUBC//fab8TvUkH/DVAzXw7179+jcuTPJycmsXr3amG/D2tqarVu38tRTT5GUlIS1tTWxsbHGIMibb77J3r17SU5Olu0KQgjzoYQQ9VZ1dbXx3xs3blSenp7qww8/VHfu3FHV1dXqrbfeUnZ2dmrlypVKKaVyc3NVjx49VHx8vEpPT1fe3t5qwIAB6pdffjFVF54YMlZ1Q1VVlVJKqYyMDNWtWzeVmJioqqurVXFxsVq2bJl6/vnnlbOzs/rhhx9U37591aRJk9Tx48dVq1at1Icffmg8x7lz50zZDaPbt2+rf/7zn6pnz55KKaXOnz+vZsyYoZYuXapKS0vVlClT1Pnz543H//rrr2rEiBEqNTVVJSQkqDZt2qj169ebqvn/VklJiYqIiFCLFi0y/u3mzZtKKaUOHjyolFJKp9OpDRs2KI1Go1atWqWUUmr48OHq/fffV0opVVlZWeuchrEX/xnXr19XGRkZ6vLly0oppZYuXapsbGzUhAkTVHR0tOratavSarVq7dq1ytbWVnl4eBj/74EDB1RUVJS6fv26qZpvdPfuXfXTTz+pKVOmqO3bt6t169apHTt2KKWUSk1NVZcuXVIlJSVq0aJFytPTU02ZMkUlJyerv/3tb6p9+/bqueeeU6dOnVJ6vV4pVfu3QQghTM28HhMIIR4rwxOY7Oxsrl+/zr1793B3d6dJkyZoNBq0Wi3h4eGsXbuWt99+m9OnT3PmzBmSkpLIzs6mf//+HDp0yKxKrdVXMlbmTylFgwYNqKysRKvVkpeXh7OzM1VVVVRXVzNgwACSk5Pp2LEjsbGxzJw5k4KCAvbt28c333zDggULSE1NpUGDBsZVPMrEWeCbNm3K6NGjKSoqwt/fn/LyckpKSti5cydnz55l9erVxlUsV65cYfr06fj5+TFixAhyc3PR6/VUVFSYtA8PU1lZycWLF7lz5w4AqampDBo0iMLCQrp06QLcTxQYGBjI2rVriYiIYO/evUyYMMF4LRoSJRqY28qK+qDm0v4ZM2YwadIkrl27BtwvWbpr1y6Ki4vZsWMH6enpJCcn8+OPP3LixAlOnz5NdHQ0AM8//zyRkZG0atXKJP0wyMvL48KFC+Tk5GBnZ8fZs2fJyMjg7t27vPvuuwwcOBBHR0eWLVvGd999h5eXF9bW1qSnp7NmzRr27dvHyy+/jLOzs1lUXRFCiD+ShIlC1ENXr16lsLCQnJwcunXrRlFREb6+vhQWFuLl5WU8rlmzZkRERNC4cWPj5KGsrAxHR0dGjBhhPM5Qa1o8fjJWdYPhfb19+zZhYWHo9XrGjRtHv3790Gg0ODg40Lp1azQaDZ9++imvv/46+fn57Nmzh0GDBvHrr7/i7++PTqerdV5TTgx0Oh1lZWX07duXDRs2EBoaSnx8PPHx8bzxxhtERUWh1Wpxc3OjtLSUUaNGMW3aNIKDg8nNzWXy5Mn4+fnxwgsvmKwP/067du0ICQlh8+bNXLt2jd27d9OiRQvs7e1p0qRJrWODg4O5desWa9asoW3btowcORLAWKJR/GcYgnEAGzduZNu2bQwZMoSnn34auP/+u7q6snnzZgICAoyfz3/84x+sX7+e/fv3M3nyZP7617/So0ePB8b1v620tJS4uDjOnDnDvn370Ov1LFq0iAULFmBlZcXf//53Tp06hVarRaPRGPOhODg4cOzYMaKiopg5cybV1dVUVlZKbiEhhFmSO0wh6pmysjJ++OEHYmNjCQ8PJzU1lYCAAGJjY8nJyWH58uVotVouXrwI3K9dPnToUBo2bMiNGzdo1KhRrSRuNW/wxOMlY1U3GAIH5eXlBAcHM3ToUBISEhg1ahQajYZ79+4B/xMIeOaZZ5g/fz6XL1+mrKyM1NRUOnXqhK+vr7HKgikZ6shv3boVHx8fNm/eTIcOHXjrrbc4fPgwKSkprFmzhoqKChYuXMilS5ewtbVlyZIlhIaGAtC9e3f69+9vDByYegUFQEVFBWlpaYwZM4apU6fi6OjI4MGDSU1NxdfXl+nTpxsnmH8M4syaNYtt27bRtWtXunbtaormP1FUjaocsbGxbN++nQkTJjB16lRsbW0BcHV1pWXLlrRu3ZqVK1ei0WjIz88nKSmJTz75hHXr1uHl5WXyxIgAv//+O82bN2fmzJnY2tri7OyMt7c3hw8fZv/+/bi5ueHp6Ul4eDjdu3dn8eLFuLq6cu3aNSIiIujevTuZmZmUlJTg6+tL8+bNTd0lIYR4KLnLFKKesba2ZtSoUQQGBjJv3jyioqL4+uuvcXV1JSMjg5SUFCoqKujYsaMxoZiHhwc2NjYkJSXRs2dPPDw8jOeTJZP/OTJW5s8QkCkvLycoKAhPT09CQ0M5duyYcevBH59QG0oZNm7cmJycHDp37kxERAQvv/yy8ZymZGjv559/Tnl5Ofv27ePnn39mypQpzJ49m+3bt5OdnU1ycjKnT58mIiICjUaDj48PSqmHrm4xh8+epaUlw4YNY9KkSTz11FNs3ryZixcv4unpyalTp/jxxx9RSpGYmMhrr71GYmJirSDCtm3bsLCwkK0//2E1AwdxcXFkZWXxxRdf4OHhQfv27VFKPXCNdOnShbCwMPLz8+nQoQNZWVmEhYURExNjFskE161bx8yZM+nWrRurVq0C7gcR7ezsyMjI4MaNG9y7dw83NzfgfkCyXbt22Nvbk5KSgrOzMw4ODrRt25aePXuasitCCPFIEjwQoh5KS0ujoqICrVbL999/z1dffcWUKVMA+Mtf/sLEiROB+3t+S0pKOHz4MIGBgdjZ2dGyZUtTNv2JI2NlvgyTHEPgoF+/frz55pscPXqUAwcOGCstaDSaByY7tra2REREGFcl1KzPbsqJ9s2bN9m6dSvDhw8nLCyM6OhosrKy2LZtG5cvX8bPzw83NzeSkpKwsbHhyy+/JDMzk8jISGPbzXF1S35+PsnJycTHx+Pr60tkZCTPPvss06dPp3nz5rz//vsMHToUjUZDQUEB2dnZNG7c2JiRX6fT0aVLF1577TXA9AGe+qpmOc+PPvqIjIwM1q9fD8Dt27fx8PB46PXRsGFD+vfvz9mzZzl69CidOnWiT58+ZvMdaNhO9vvvvzNx4kTee+89kpKS2LJli7G6x40bN1iyZAlXrlwxXkPjxo3Dzc2NkJAQtm/fjoODg4l7IoQQj2Z+dwBCiP8vR44cIT8/H19fX9LT0/n444/5+uuvWbNmDRs2bECv1/Ovf/0Lf39/xo4dy3PPPUdgYCCFhYU0bNiQdu3aYWNjY+puPBFkrMybIXBgKBc3Z84c4H4yvrNnz7JixQrS0tKMx9accCqlaNGihXF1grlo0aIF+fn5nDx5Emtraz777DMCAgJQShETE0NhYSHh4eFkZWWRlJRE586dmTNnDuvWraOoqMjUzX8onU5HUVERhw4dYvfu3UycOJFvvvmGQYMG0a5dO65evYqnpycvvPACV65cIScnhyVLluDn5wfcH6vGjRvj7u5ufG0OKynqI8OkOT4+nvT0dNauXUvz5s1ZsWIFmzZtYv/+/cDDrydHR8daSRHNaYy6detGamoqCQkJzJ8/n+DgYKqqqggLC8PFxYXU1FTGjRvHgQMHWL9+PZWVlQAMGDAAFxcXQBJyCiHqBkmYKEQ9c+nSJdLS0oxPMF5++WWUUmzdupWKigp0Oh3vvPMOmZmZXLx4kerqauzs7Bg6dKiJW/7kkbEyb9XV1Wzbtg0vLy9mz54N3J/EeHp6otVqiYuL4/3330cphY+Pj3HCo9Fo0Gg0dOjQgQ4dOpi4Fw/SarUUFxcTEhJCWFgYUVFRpKenM3XqVKKiopg/fz6RkZEUFBRw8uRJVq1ahZWV1QPVB8xF48aNGTJkCO3atePKlSucP3+eIUOGYG9vz8mTJ43bSHJzc4mOjmb06NH4+/sDDw8UmNOktD6Kj49n9+7dJCUl0aJFCwB69eqFk5MTy5cvN26R+eP1BODg4GDMiWAuqqur6dq1K02bNmXhwoUkJiYC8Oqrr9KkSRPc3d25fv0606dPp2HDhlRUVJCQkICVlRUeHh7GbQryuRNC1AUaJWvzhKhXbt++TZcuXViyZAnBwcHMmTOHEydOUFxcTJs2bcjIyKBHjx6sWbOGnj17cu/ePeOkQJ64/XfJWJm/yspKY5I9w5Jrw/v+7bffsmzZMioqKpg7dy7Dhg0zZVP/lJr5CmbNmsXx48fRarWsX78enU6HXq83VmDIz89n4MCBxrwbkydPNnHrH+3QoUO8++67zJs3Dzc3N86cOUOnTp0oLi5m/PjxxlKTWq0WkMokpnDnzh22bNnCuHHjaNGiRa3vtIyMDGJjYykvL2fu3Ln4+PgAdee7buXKldjZ2REUFET//v3x8vJi4cKFdO3alT59+pCYmMiFCxeYPn06er2eNm3aEB0djZOTk6mbLoQQf5p5PkYQQvyflZaW0r9/f4KDgwHo3bs3np6eXL16lZMnTxIUFMTu3bvx9fUlLy+v1tPEunCDVp/IWJm/muXfDBNNw2TG29ub6upqVq1axXvvvYeFhQWDBw82VVP/lAYNGhgnzXFxcUybNo2JEycydOhQtmzZwokTJ4iLi2Pw4ME0atSI8PDwWiXjzGEid+vWLXQ6Hfb29gAUFxdjZ2eHi4sL586dw8LCgqKiItq3b4+trS1KKfR6PY6OjhQUFHD+/HmcnZ0lcGACTZs2JSQkBI1GQ3V1NY0aNTJ+pry8vFBKERsbS0xMDBqNhmHDhpn88/a/UUpRWlpKaWkpERERWFlZERwczKhRowD45JNP8PX15aOPPsLHx4fZs2czbNgwdDqdMeeGEELUFfLLKUQ906FDB1JSUgDIysri8uXL7Ny5E0dHRywtLenduzdeXl7cuHHDWAJQmIaMVd1Ucz/2iy++yJAhQzh+/DjZ2dkmbtmfYwggACQkJDB+/Hh++eUXcnNzSUlJwd7eHnd3d5ycnB6oNW/qiVx5eTkxMTHGrTs///wzixcvJjo6mkaNGuHl5YWdnR2dO3fG3t6ewsJCAgMDWbp0KdOmTePbb7/l4MGDJu3Dk87wGTIEb2peT97e3sybNw8LCwu0Wi15eXkma+efpdFoaNWqFWPHjgVg5MiRJCQksGjRIt5991169uzJiy++SPfu3enSpYtxhVLNMrtCCFFXSPBAiHpIKcXdu3eprKxkxowZDB8+nO7du5OTk8POnTu5cOECrq6uNGvWzNRNfeLJWNVNhglQUVERmZmZuLi4GCfkdUHNAMLy5cvp3bs33t7eHDx4kAULFlBVVWWWyTibNm3K6NGjKSoqwt/fn/LyckpKSti5cydnz55l9erVPPPMMwDGbQp+fn6MGDGC3Nxc9Ho9FRUVJu6F+KOaAQQPDw90Oh1Hjhwx2ySdD9O1a1fg/ne6r68va9euZfHixXz11Vfo9XpKSkpqHW/qQJwQQvxfSM4DIeqxqqoqvvvuO06cOEFgYCCff/45oaGhNG/enKqqqgfq0wvTkbGqm65evUp5eTlt27atVY6xrjBsYcjJySEwMJBZs2bx+uuvm7pZD6XT6SgrK6NVq1bs3buX0NBQXnnlFaKionjjjTcoKytDq9Xi5uZGaWkpL730EtOmTSM0NJTc3FzKy8u5e/cuL7zwgqm7Iv4NpRS7du0iLS0NCwsLZs6caZZJRx/FcFut0WhISkrC0tKS06dPExkZ+cBKHiGEqGskeCBEPff7779jZWXF1q1b+e2334iIiADMY++yqE3Gqu6rq2N16dIl5s2bx1tvvYWrq6upm1OLIXi2ceNGli9fzuzZs+nVqxf79+9nw4YNhIeHExQUxCuvvELTpk1ZuXIlTk5OpKWlGZPu/TE5Yl0dpyfBzZs3jVUY6qqaAYRjx46RlJTEwoUL62SAUQghapLggRBPiPT0dAYOHFgrAZwwTzJWwhRqVpYwR0OGDKGoqIh+/frh5+fHoEGD2LVrF5s3b2bu3Lm4u7vTp08funXrxs6dO4H7kzillCRHFCZRVFTE/v378fHxkaoKQoh6QX5NhXgCKKVwcnKSG+g6QMZKmIo5Lqm+efMmW7duZfjw4YSFhREdHU1WVhbbtm3j8uXL+Pn54ebmRlJSEjY2Nnz55ZdkZmYSGRkJ3H/yK9eSMJWWLVvi7+8vgQMhRL0hv6hCPAE0Gg1dunSRslB1gIyVMBVzXMbfokUL8vPzOXnyJNbW1nz22WcEBASglCImJobCwkLCw8PJysoiKSmJzp07M2fOHNatW1enku2J+qlJkyZYWVmZuhlCCPHYSPBAiCeEOU4MxMPJWAnxP7RaLWPHjiUkJITu3bvzwQcfEBISwoEDB4iKikKn0xEZGUlBQQEnT55k1apVWFlZ0ahRI1M3XQghhKhXJOeBEEIIIcxSzUSHs2bN4vjx42i1WtavX49Op0Ov11NWVkbfvn3Jz89n4MCBVFRU0LFjRyZPnmzi1gshhBD1iwQPhBBCCGG2agYQpk2bxo4dOxg6dCibNm3ixIkTxMXFMX78eA4dOsQ777xTK3eDVFUQQgghHh9Z0yeEEEIIs9WgQQNjACEhIYEmTZpw5MgRcnNzSUlJwd7eHnd3dy5evPhA0kcJHAghhBCPj+Q8EEIIIYRZMwQQAJYvX07v3r3x9vbm4MGDLFiwgKqqKmxsbEzcSiGEEKJ+k+CBEEIIIcxezQBCSEgIrVu3xt/fHysrKxwcHAgICDBxC4UQQoj6TYIHQgghhKgTDLkPHBwc6NevHwMHDjRxi4QQQognhyRMFEIIIUSdU1lZSZMmTUzdDCGEEOKJIcEDIYQQQtQ5UklBCCGE+O+SbQtCCCGEqHMkcCCEEEL8d0nwQAghhBBCCCGEEI8kwQMhhBBCCCGEEEI8kgQPhBBCCCGEEEII8UgSPBBCCCGEEEIIIcQjSfBACCGEEEIIIYQQjyTBAyGEEEIIIYQQQjySBA+EEEIIIYQQQgjxSBI8EEIIIYQQQgghxCNJ8EAIIYQQQgghhBCP9P8A37oldF95Oz8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 获取与标签的相关系数\n",
    "label_correlation = correlation_matrix[label].drop(label)  # 去掉标签自身的相关系数\n",
    "label_correlation_sorted = label_correlation.abs().sort_values(ascending=False)\n",
    "\n",
    "# 选择与标签相关系数最高的 5个特征\n",
    "top_features = label_correlation_sorted.head(5).index.tolist()\n",
    "\n",
    "# 可视化整个相关系数矩阵，并标出前5个特征\n",
    "plt.figure(figsize=(12, 10))\n",
    "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt='.2f', cbar_kws={'label': '相关系数'})\n",
    "plt.xticks(rotation=45, ha='right') \n",
    "plt.title('相关系数矩阵（前5个与标签相关的特征已标记）', fontproperties=my_font)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LAFAM4QIAFEO4AADFEC4AQDGECwBQDOECABRDuAAAxRAuAEAxhAsAUAzhAgAUQ7gAAMUQLgBAMYQLAFAM4QIAFEO4AADFEC4AQDGECwBQDOECABRDuAAAxRAuAEAxhAsAUAzhAgAUQ7gAAMUQLgBAMYQLAFAM4QIAFEO4AADFEC4AQDGECwBQDOECABRjXOGybdu2LFy4MB0dHWlvb8/+/fvfdO7rr7+eL3zhC7n99tvzsY99LDfccEO6u7vHvWAAYOqaXu8BXV1d2bBhQw4cOJCWlpbs3LkztVotPT09mTNnzlnzH3300Vx//fV58MEHkyTf/OY3s3Tp0uzfvz8f+chH3v07AACmjLrPuKxfvz6rVq1KS0tLkqRWq2X+/PnZvHnzmPP7+vry27/92yPPf+d3ficLFizIU089Nc4lAwBTVV1nXA4fPpy+vr50dnaOGu/s7My3v/3tMY+57bbbzhq7/PLLc/z48THnDw8PZ3h4eOT50NBQPUsEAC5idZ1xOXbsWJJk1qxZo8ZbW1tz9OjRMY9ZuXLlqOcDAwPZt29fFi1aNOb8jRs3prm5eeQxd+7cepYIAFzExnVx7vTpZ5+oOXPmzNseV1VVPvOZz+S6667LnXfeOeacNWvWZHBwcORx5MiR8SwRALgI1fVR0ezZs5Mk/f39oy7E7e/vf9szI1VV5e67786hQ4fS3d2d97znPWPOa2xsTGNjYz3LAgCmiLrOuLS1tWXevHnZu3fvqPFdu3alVqu96XHDw8O54447cuLEiTz//PO54oor8thjj41rwQDA1FX3R0Vr167N1q1bMzAwkCTp7u5Ob29vVq9enSRZvnx5tmzZMjK/v78/v/mbv5lf//Vfz9/+7d/m0ksvzauvvprTp09PzDsAAKaMun+Py4oVK3Ly5Ml0dnZmxowZaWhoyO7du9Pa2pokOXjw4Mif+/v7c8MNN+SSSy7J9u3bs3379iTJj3/843zxi1+cwLcBAEwF06qqqs73It7K0NBQmpubMzg4mKampvO9HADgHZisn9/uVQQAFEO4AADFEC4AQDGECwBQDOECABRDuAAAxRAuAEAxhAsAUAzhAgAUQ7gAAMUQLgBAMYQLAFAM4QIAFEO4AADFEC4AQDGECwBQDOECABRDuAAAxRAuAEAxhAsAUAzhAgAUQ7gAAMUQLgBAMYQLAFAM4QIAFEO4AADFEC4AQDGECwBQDOECABRDuAAAxRAuAEAxhAsAUAzhAgAUQ7gAAMUQLgBAMYQLAFAM4QIAFEO4AADFEC4AQDGECwBQDOECABRDuAAAxRAuAEAxhAsAUAzhAgAUQ7gAAMUQLgBAMYQLAFAM4QIAFEO4AADFEC4AQDGECwBQDOECABRDuAAAxRAuAEAxhAsAUAzhAgAUQ7gAAMUQLgBAMYQLAFAM4QIAFEO4AADFEC4AQDHGFS7btm3LwoUL09HRkfb29uzfv/8t53/zm9/MokWLcsstt2TRokV55plnxrVYAGBqm17vAV1dXdmwYUMOHDiQlpaW7Ny5M7VaLT09PZkzZ85Z8/fs2ZOVK1fmX//1X/PBD34wPT09Wbx4cfbs2ZPrr79+Qt4EADA11H3GZf369Vm1alVaWlqSJLVaLfPnz8/mzZvHnP/5z38+v/u7v5sPfvCDSZLrrrsuv/Vbv5UNGza8i2UDAFNRXWdcDh8+nL6+vnR2do4a7+zszLe//e2z5r/22mt54YUXsmrVqrPm33fffWO+xvDwcIaHh0eeDw4OJkmGhobqWSoAcB794ud2VVUT+nXrCpdjx44lSWbNmjVqvLW1NUePHj1r/sDAQE6fPj3m/P/+7//O//zP/+Syyy4b9b9t3Lgx69atO+trzZ07t56lAgAXgFdffTXNzc0T9vXqvsYlSaZPP/uwM2fO1DX/zY5Zs2ZN7r333pHnJ06cyPvf//68/PLLE/rGGZ+hoaHMnTs3R44cSVNT0/lezpRmLy4c9uLCYS8uHIODg2lra8t73/veCf26dYXL7NmzkyT9/f2jLsTt7+8f84zIlVdemYaGhvT3948a7+/vz8yZMzNjxoyzjmlsbExjY+NZ483Nzf5PeAFpamqyHxcIe3HhsBcXDntx4bjkkon9zSt1fbW2trbMmzcve/fuHTW+a9eu1Gq1s+ZPnz49HR0dY87/xCc+UfdiAYCpre4MWrt2bbZu3ZqBgYEkSXd3d3p7e7N69eokyfLly7Nly5aR+Q8//HD+5m/+Jr29vUmSl156Kc8880weeeSRCVg+ADCV1H2Ny4oVK3Ly5Ml0dnZmxowZaWhoyO7du9Pa2pokOXjw4Mifk2TJkiX5y7/8y/ze7/1eLr/88vz85z/PP/zDP+TXfu3X3tHrNTY2Zu3atWN+fMS5Zz8uHPbiwmEvLhz24sIxWXsxrZrof6cEADBJ3KsIACiGcAEAiiFcAIBiXBDh4m7TF5Z69uP111/PF77whdx+++352Mc+lhtuuCHd3d3ncLUXt3r/bvzCqVOncu2116arq2tyFziFjGcvdu7cmWXLlmXhwoVpb2/Pyy+/fA5WevGrdy+eeOKJdHR05JZbbslHP/pRfy8m0Pe+971s2rQpV111VQ4dOvS288f7PW2U6jz7+te/Xs2ZM6fq7++vqqqquru7q5kzZ1ZHjhwZc/7u3bur5ubm6oc//GFVVVX1H//xH1VTU1P1b//2b+dszRezevfjz/7sz6q///u/H3n+jW98o2poaKheeumlc7Lei1m9e/FG99xzT5Wk+vrXvz7Jq5waxrMXjz76aFWr1arvf//752qZU0K9e7F9+/bq1ltvrU6ePFlVVVUdOnSomjVrVvXss8+eszVfzL7xjW9Ujz32WJWk6uvre8u57+Z72hud93D51V/91erzn//8qLGbb765uvfee8ecv2TJkmrlypWjxv7gD/6g+uQnPzlpa5xK6t2PO+6446yxG2+8sXr44YcnZX1TSb178Qvd3d3VH/7hHwqXCVTvXjz33HPVhz70oer06dPnYnlTSr178Sd/8ifVli1bRo198pOfPGuMd+edhMt4v6f9svP6UdFb3W16z549Z83/xd2mx5r/3HPPTepap4J69yNJbrvttrPGLr/88hw/fnxS1jhVjGcvkuT48eNZv359vvzlL0/2EqeM8ezFl770pSxdujQPPPBAbr311lx77bW57777cvr06XOx5IvWePbipptuypYtW3LgwIEk//dLUPv6+nLnnXdO+nr5f+P9njaWcd1kcaKci7tN887Vux9JsnLlylHPBwYGsm/fvqxYsWJyFjlFjGcvkuTuu+/Opk2b3KNlAo1nL/bt25cXX3wxO3bsyObNm3PixIncdttteeihh/LFL35x0td8sRrPXtx1110ZGhrK4sWLc+ONN+aVV17J008/nfe9732Tvl7+33i/p43lgrg4dzLvNk396t2PX6iqKp/5zGdy3XXX+a+ZCVLPXjz55JO55pprsnjx4sle1pRUz14cP348tVotixYtSpLMnDkzDz74YL7yla/4PjUB6tmLnp6efOc738m+ffvyxBNPpL29PYsWLcqzzz472ctkDOP9+fJG5zVc3ni36TeayLtN887Vux9vVFVV7r777hw6dCj/+I//mPe85z2Tts6pYDx78d3vfjf/9E//lCVLlmTJkiVJkk2bNmX9+vWTutaL3Xj2YtasWbnmmmtGjbW1teVnP/tZXn311clZ6BRQ716cOXMmS5cuzSOPPJIFCxbkQx/6UL72ta/l0UcfzWc/+9lzsmb+z7v5+fLLzmu4uNv0haXe/fiF4eHh3HHHHTlx4kSef/75XHHFFXnssccmebUXt/HsxVe/+tX88z//c/bu3Tty3EMPPeSGpu/SePZiwYIF+dGPfjRqrLe3N01NTbnyyisna6kXvXr3YmhoKIcOHcrVV189aryjoyODg4OTuVR+yXh/voypvuuGJ96TTz5ZfeADH6h+8pOfVFVVVc8880x15ZVXVq+88kpVVVX1+7//+9XmzZtH5j/33HPVe9/73uo///M/q6qqqhdffLH6lV/5laqnp+ecr/1iVO9+vPLKK9Vtt91W/cVf/MXI2MDAQPXnf/7n53TdF6N69+KNXn/99SpJ9Vd/9VfnarkXtXr34oUXXqguv/zy6t///d+rqqqqn/zkJ9WHP/zh6pFHHjnXS7/o1LsXtVqt+vSnP12dOnWqqqqqOnHiRPUbv/Eb1f3333/O136x+ulPf1olqX7wgx+MjA0PD1ednZ3V9u3bR8bebu/eqfN6cW5y7u82zVurZz/6+/tzww035JJLLsn27duzffv2JMmPf/xjFyBOgHr/brzRPffckyTZvHlz7rrrrjQ0NJyzdV+M6t2Lm2++OV1dXVm5cmUaGhry2muvZcWKFbn//vvP11u4aNS7F0899VTWrVuXxYsX59JLL82pU6fyqU99Kp/73OfO11u4qDzwwAP51re+lSS5/fbbs2zZsjz++OM5ffp0Dh48OOrC27fbu3fK3aEBgGJcEP+qCADgnRAuAEAxhAsAUAzhAgAUQ7gAAMUQLgBAMYQLAFAM4QIAFEO4AADFEC4AQDGECwBQDOECABTjfwF3exLobRtboAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 高亮显示前5个与标签相关的特征\n",
    "for feature in top_features:\n",
    "    plt.gca().add_patch(plt.Rectangle((correlation_matrix.columns.get_loc(feature), \n",
    "                                       correlation_matrix.index.get_loc(label)),\n",
    "                                      1, 1, fill=False, edgecolor='yellow', lw=3))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用前5个特征作为模型输入\n",
    "X = cleaned_data[top_features]\n",
    "y = cleaned_data[label]\n",
    "\n",
    "# 划分训练集和测试集\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# 标准化特征\n",
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\地狱拖拉机\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\layers\\core\\dense.py:87: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 30ms/step - accuracy: 0.3147 - loss: 0.6604 - val_accuracy: 0.4516 - val_loss: 0.6753 - learning_rate: 1.0000e-04\n",
      "Epoch 2/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3059 - loss: 0.6317 - val_accuracy: 0.4516 - val_loss: 0.6717 - learning_rate: 1.0000e-04\n",
      "Epoch 3/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3298 - loss: 0.5957 - val_accuracy: 0.4516 - val_loss: 0.6681 - learning_rate: 1.0000e-04\n",
      "Epoch 4/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.2712 - loss: 0.6677 - val_accuracy: 0.4516 - val_loss: 0.6646 - learning_rate: 1.0000e-04\n",
      "Epoch 5/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3120 - loss: 0.6205 - val_accuracy: 0.4516 - val_loss: 0.6612 - learning_rate: 1.0000e-04\n",
      "Epoch 6/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3382 - loss: 0.6172 - val_accuracy: 0.4516 - val_loss: 0.6581 - learning_rate: 1.0000e-04\n",
      "Epoch 7/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3867 - loss: 0.5867 - val_accuracy: 0.4516 - val_loss: 0.6552 - learning_rate: 1.0000e-04\n",
      "Epoch 8/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3692 - loss: 0.6273 - val_accuracy: 0.4516 - val_loss: 0.6523 - learning_rate: 1.0000e-04\n",
      "Epoch 9/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.4287 - loss: 0.5907 - val_accuracy: 0.4516 - val_loss: 0.6493 - learning_rate: 1.0000e-04\n",
      "Epoch 10/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3572 - loss: 0.6325 - val_accuracy: 0.4516 - val_loss: 0.6465 - learning_rate: 1.0000e-04\n",
      "Epoch 11/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 9ms/step - accuracy: 0.4243 - loss: 0.5590 - val_accuracy: 0.4516 - val_loss: 0.6441 - learning_rate: 1.0000e-04\n",
      "Epoch 12/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3452 - loss: 0.5483 - val_accuracy: 0.4516 - val_loss: 0.6419 - learning_rate: 9.0000e-05\n",
      "Epoch 13/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3808 - loss: 0.5963 - val_accuracy: 0.4516 - val_loss: 0.6399 - learning_rate: 8.1000e-05\n",
      "Epoch 14/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3172 - loss: 0.5930 - val_accuracy: 0.4516 - val_loss: 0.6378 - learning_rate: 7.2900e-05\n",
      "Epoch 15/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3296 - loss: 0.5251 - val_accuracy: 0.4516 - val_loss: 0.6361 - learning_rate: 6.5610e-05\n",
      "Epoch 16/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3699 - loss: 0.5476 - val_accuracy: 0.4516 - val_loss: 0.6347 - learning_rate: 5.9049e-05\n",
      "Epoch 17/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3783 - loss: 0.5235 - val_accuracy: 0.4516 - val_loss: 0.6335 - learning_rate: 5.3144e-05\n",
      "Epoch 18/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3923 - loss: 0.4681 - val_accuracy: 0.4516 - val_loss: 0.6324 - learning_rate: 4.7830e-05\n",
      "Epoch 19/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3205 - loss: 0.5710 - val_accuracy: 0.4516 - val_loss: 0.6314 - learning_rate: 4.3047e-05\n",
      "Epoch 20/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3739 - loss: 0.5483 - val_accuracy: 0.4516 - val_loss: 0.6304 - learning_rate: 3.8742e-05\n",
      "Epoch 21/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3682 - loss: 0.5844 - val_accuracy: 0.4516 - val_loss: 0.6295 - learning_rate: 3.4868e-05\n",
      "Epoch 22/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3424 - loss: 0.5495 - val_accuracy: 0.4516 - val_loss: 0.6285 - learning_rate: 3.1381e-05\n",
      "Epoch 23/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3694 - loss: 0.5127 - val_accuracy: 0.4516 - val_loss: 0.6277 - learning_rate: 2.8243e-05\n",
      "Epoch 24/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3354 - loss: 0.5392 - val_accuracy: 0.4516 - val_loss: 0.6269 - learning_rate: 2.5419e-05\n",
      "Epoch 25/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3639 - loss: 0.5403 - val_accuracy: 0.4516 - val_loss: 0.6262 - learning_rate: 2.2877e-05\n",
      "Epoch 26/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.4115 - loss: 0.4895 - val_accuracy: 0.4516 - val_loss: 0.6256 - learning_rate: 2.0589e-05\n",
      "Epoch 27/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4360 - loss: 0.5122 - val_accuracy: 0.4516 - val_loss: 0.6250 - learning_rate: 1.8530e-05\n",
      "Epoch 28/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3699 - loss: 0.5065 - val_accuracy: 0.4516 - val_loss: 0.6245 - learning_rate: 1.6677e-05\n",
      "Epoch 29/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3131 - loss: 0.5271 - val_accuracy: 0.4516 - val_loss: 0.6240 - learning_rate: 1.5009e-05\n",
      "Epoch 30/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3657 - loss: 0.5210 - val_accuracy: 0.4516 - val_loss: 0.6236 - learning_rate: 1.3509e-05\n",
      "Epoch 31/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3579 - loss: 0.5069 - val_accuracy: 0.4516 - val_loss: 0.6233 - learning_rate: 1.2158e-05\n",
      "Epoch 32/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3205 - loss: 0.5158 - val_accuracy: 0.4516 - val_loss: 0.6229 - learning_rate: 1.0942e-05\n",
      "Epoch 33/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3433 - loss: 0.5169 - val_accuracy: 0.4516 - val_loss: 0.6226 - learning_rate: 9.8477e-06\n",
      "Epoch 34/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3482 - loss: 0.5045 - val_accuracy: 0.4516 - val_loss: 0.6224 - learning_rate: 8.8629e-06\n",
      "Epoch 35/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3388 - loss: 0.4964 - val_accuracy: 0.4516 - val_loss: 0.6221 - learning_rate: 7.9766e-06\n",
      "Epoch 36/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3760 - loss: 0.4934 - val_accuracy: 0.4516 - val_loss: 0.6219 - learning_rate: 7.1790e-06\n",
      "Epoch 37/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3687 - loss: 0.4897 - val_accuracy: 0.4516 - val_loss: 0.6217 - learning_rate: 6.4611e-06\n",
      "Epoch 38/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3241 - loss: 0.5226 - val_accuracy: 0.4516 - val_loss: 0.6215 - learning_rate: 5.8150e-06\n",
      "Epoch 39/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3707 - loss: 0.4526 - val_accuracy: 0.4516 - val_loss: 0.6213 - learning_rate: 5.2335e-06\n",
      "Epoch 40/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3450 - loss: 0.5021 - val_accuracy: 0.4516 - val_loss: 0.6212 - learning_rate: 4.7101e-06\n",
      "Epoch 41/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3089 - loss: 0.5218 - val_accuracy: 0.4516 - val_loss: 0.6210 - learning_rate: 4.2391e-06\n",
      "Epoch 42/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3379 - loss: 0.4907 - val_accuracy: 0.4516 - val_loss: 0.6209 - learning_rate: 3.8152e-06\n",
      "Epoch 43/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3631 - loss: 0.5032 - val_accuracy: 0.4516 - val_loss: 0.6208 - learning_rate: 3.4337e-06\n",
      "Epoch 44/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3034 - loss: 0.4926 - val_accuracy: 0.4516 - val_loss: 0.6207 - learning_rate: 3.0903e-06\n",
      "Epoch 45/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3703 - loss: 0.5118 - val_accuracy: 0.4516 - val_loss: 0.6206 - learning_rate: 2.7813e-06\n",
      "Epoch 46/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3894 - loss: 0.4449 - val_accuracy: 0.4516 - val_loss: 0.6205 - learning_rate: 2.5032e-06\n",
      "Epoch 47/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3530 - loss: 0.4775 - val_accuracy: 0.4516 - val_loss: 0.6205 - learning_rate: 2.2528e-06\n",
      "Epoch 48/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3187 - loss: 0.5587 - val_accuracy: 0.4516 - val_loss: 0.6204 - learning_rate: 2.0276e-06\n",
      "Epoch 49/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3222 - loss: 0.4699 - val_accuracy: 0.4516 - val_loss: 0.6204 - learning_rate: 1.8248e-06\n",
      "Epoch 50/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3768 - loss: 0.4975 - val_accuracy: 0.4516 - val_loss: 0.6203 - learning_rate: 1.6423e-06\n",
      "Epoch 51/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3588 - loss: 0.4933 - val_accuracy: 0.4516 - val_loss: 0.6203 - learning_rate: 1.4781e-06\n",
      "Epoch 52/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3244 - loss: 0.4884 - val_accuracy: 0.4516 - val_loss: 0.6202 - learning_rate: 1.3303e-06\n",
      "Epoch 53/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3157 - loss: 0.4843 - val_accuracy: 0.4516 - val_loss: 0.6202 - learning_rate: 1.1973e-06\n",
      "Epoch 54/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3965 - loss: 0.4394 - val_accuracy: 0.4516 - val_loss: 0.6201 - learning_rate: 1.0775e-06\n",
      "Epoch 55/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3488 - loss: 0.5403 - val_accuracy: 0.4516 - val_loss: 0.6201 - learning_rate: 9.6977e-07\n",
      "Epoch 56/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3651 - loss: 0.5982 - val_accuracy: 0.4516 - val_loss: 0.6201 - learning_rate: 8.7280e-07\n",
      "Epoch 57/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3223 - loss: 0.4675 - val_accuracy: 0.4516 - val_loss: 0.6201 - learning_rate: 7.8552e-07\n",
      "Epoch 58/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.4221 - loss: 0.4481 - val_accuracy: 0.4516 - val_loss: 0.6200 - learning_rate: 7.0697e-07\n",
      "Epoch 59/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - accuracy: 0.3789 - loss: 0.4955 - val_accuracy: 0.4516 - val_loss: 0.6200 - learning_rate: 6.3627e-07\n",
      "Epoch 60/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3320 - loss: 0.4656 - val_accuracy: 0.4516 - val_loss: 0.6200 - learning_rate: 5.7264e-07\n",
      "Epoch 61/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3295 - loss: 0.5000 - val_accuracy: 0.4516 - val_loss: 0.6200 - learning_rate: 5.1538e-07\n",
      "Epoch 62/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.4157 - loss: 0.4818 - val_accuracy: 0.4516 - val_loss: 0.6200 - learning_rate: 4.6384e-07\n",
      "Epoch 63/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3238 - loss: 0.5241 - val_accuracy: 0.4516 - val_loss: 0.6200 - learning_rate: 4.1746e-07\n",
      "Epoch 64/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - accuracy: 0.3154 - loss: 0.4983 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 3.7571e-07\n",
      "Epoch 65/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3628 - loss: 0.5086 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 3.3814e-07\n",
      "Epoch 66/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3693 - loss: 0.4909 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 3.0433e-07\n",
      "Epoch 67/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3504 - loss: 0.4794 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 2.7389e-07\n",
      "Epoch 68/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3182 - loss: 0.4908 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 2.4650e-07\n",
      "Epoch 69/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3713 - loss: 0.4437 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 2.2185e-07\n",
      "Epoch 70/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3250 - loss: 0.4773 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 1.9967e-07\n",
      "Epoch 71/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.4093 - loss: 0.4625 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 1.7970e-07\n",
      "Epoch 72/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3786 - loss: 0.4952 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 1.6173e-07\n",
      "Epoch 73/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - accuracy: 0.4007 - loss: 0.4608 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 1.4556e-07\n",
      "Epoch 74/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3092 - loss: 0.4459 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 1.3100e-07\n",
      "Epoch 75/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3358 - loss: 0.5338 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 1.1790e-07\n",
      "Epoch 76/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3731 - loss: 0.4589 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 1.0611e-07\n",
      "Epoch 77/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3325 - loss: 0.4835 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 9.5501e-08\n",
      "Epoch 78/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3629 - loss: 0.4856 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 8.5950e-08\n",
      "Epoch 79/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3550 - loss: 0.5087 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 7.7355e-08\n",
      "Epoch 80/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3360 - loss: 0.5161 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 6.9620e-08\n",
      "Epoch 81/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3292 - loss: 0.5567 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 6.2658e-08\n",
      "Epoch 82/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3236 - loss: 0.4332 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 5.6392e-08\n",
      "Epoch 83/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3106 - loss: 0.5541 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 5.0753e-08\n",
      "Epoch 84/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3628 - loss: 0.4963 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 4.5678e-08\n",
      "Epoch 85/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.4090 - loss: 0.5111 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 4.1110e-08\n",
      "Epoch 86/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3568 - loss: 0.5571 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 3.6999e-08\n",
      "Epoch 87/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3940 - loss: 0.4768 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 3.3299e-08\n",
      "Epoch 88/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 9ms/step - accuracy: 0.3406 - loss: 0.4732 - val_accuracy: 0.4516 - val_loss: 0.6199 - learning_rate: 2.9969e-08\n",
      "Epoch 89/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3953 - loss: 0.4627 - val_accuracy: 0.4516 - val_loss: 0.6198 - learning_rate: 2.6972e-08\n",
      "Epoch 90/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3274 - loss: 0.4839 - val_accuracy: 0.4516 - val_loss: 0.6198 - learning_rate: 2.4275e-08\n",
      "Epoch 91/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.2849 - loss: 0.5463 - val_accuracy: 0.4516 - val_loss: 0.6198 - learning_rate: 2.1847e-08\n",
      "Epoch 92/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3409 - loss: 0.4835 - val_accuracy: 0.4516 - val_loss: 0.6198 - learning_rate: 1.9663e-08\n",
      "Epoch 93/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3449 - loss: 0.5403 - val_accuracy: 0.4516 - val_loss: 0.6198 - learning_rate: 1.7696e-08\n",
      "Epoch 94/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3110 - loss: 0.5510 - val_accuracy: 0.4516 - val_loss: 0.6198 - learning_rate: 1.5927e-08\n",
      "Epoch 95/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3363 - loss: 0.4544 - val_accuracy: 0.4516 - val_loss: 0.6198 - learning_rate: 1.4334e-08\n",
      "Epoch 96/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3317 - loss: 0.5051 - val_accuracy: 0.4516 - val_loss: 0.6198 - learning_rate: 1.2901e-08\n",
      "Epoch 97/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.4121 - loss: 0.4481 - val_accuracy: 0.4516 - val_loss: 0.6198 - learning_rate: 1.1611e-08\n",
      "Epoch 98/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3130 - loss: 0.4225 - val_accuracy: 0.4516 - val_loss: 0.6198 - learning_rate: 1.0450e-08\n",
      "Epoch 99/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3941 - loss: 0.4635 - val_accuracy: 0.4516 - val_loss: 0.6198 - learning_rate: 9.4046e-09\n",
      "Epoch 100/100\n",
      "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - accuracy: 0.3219 - loss: 0.5258 - val_accuracy: 0.4516 - val_loss: 0.6198 - learning_rate: 8.4642e-09\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 构建简单的神经网络模型\n",
    "neural_network_model = Sequential([\n",
    "    Dense(16, activation='elu', input_shape=(X_train_scaled.shape[1],)),\n",
    "    Dense(8, activation='relu'),\n",
    "    Dense(1, activation='sigmoid')\n",
    "])\n",
    "\n",
    "# 编译神经网络模型\n",
    "optimizer = Adam(0.0001)\n",
    "neural_network_model.compile(optimizer=optimizer, loss='binary_crossentropy', metrics=['accuracy'])\n",
    "\n",
    "# 定义学习率调度函数（用于神经网络模型训练）\n",
    "def scheduler(epoch, lr):\n",
    "    if epoch > 10:  # 在第10个epoch之后降低学习率\n",
    "        return lr * 0.9  # 每个epoch将学习率减少10%\n",
    "    return lr\n",
    "\n",
    "# 实例化神经网络模型的学习率调度器\n",
    "lr_scheduler = LearningRateScheduler(scheduler)\n",
    "\n",
    "# 训练神经网络模型，添加学习率调度器\n",
    "neural_network_history = neural_network_model.fit(X_train_scaled, y_train, epochs=100, batch_size=12, validation_split=0.2, callbacks=[lr_scheduler])\n",
    "\n",
    "# 可视化神经网络模型训练过程中的损失和准确率\n",
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.plot(neural_network_history.history['loss'], label='神经网络训练集损失')\n",
    "plt.plot(neural_network_history.history['val_loss'], label='神经网络验证集损失')\n",
    "plt.title('神经网络训练过程中的损失', fontproperties=my_font)\n",
    "plt.xlabel('Epoch', fontproperties=my_font)\n",
    "plt.ylabel('Loss', fontproperties=my_font)\n",
    "plt.legend(prop=my_font)\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.plot(neural_network_history.history['accuracy'], label='神经网络训练集准确率')\n",
    "plt.plot(neural_network_history.history['val_accuracy'], label='神经网络验证集准确率')\n",
    "plt.title('神经网络训练过程中的准确率', fontproperties=my_font)\n",
    "plt.xlabel('Epoch', fontproperties=my_font)\n",
    "plt.ylabel('Accuracy', fontproperties=my_font)\n",
    "plt.legend(prop=my_font)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\地狱拖拉机\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\layers\\core\\dense.py:87: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n",
      "C:\\Users\\地狱拖拉机\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\layers\\core\\dense.py:87: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n",
      "C:\\Users\\地狱拖拉机\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\layers\\core\\dense.py:87: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n",
      "C:\\Users\\地狱拖拉机\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\layers\\core\\dense.py:87: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n",
      "C:\\Users\\地狱拖拉机\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\layers\\core\\dense.py:87: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n",
      "C:\\Users\\地狱拖拉机\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\layers\\core\\dense.py:87: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n",
      "C:\\Users\\地狱拖拉机\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\layers\\core\\dense.py:87: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n",
      "C:\\Users\\地狱拖拉机\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\layers\\core\\dense.py:87: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n",
      "C:\\Users\\地狱拖拉机\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\layers\\core\\dense.py:87: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\地狱拖拉机\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\layers\\core\\dense.py:87: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m1/2\u001b[0m \u001b[32m━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━\u001b[0m \u001b[1m0s\u001b[0m 35ms/stepWARNING:tensorflow:5 out of the last 13 calls to <function TensorFlowTrainer.make_predict_function.<locals>.one_step_on_data_distributed at 0x00000238F7740310> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.\n",
      "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 27ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\地狱拖拉机\\AppData\\Roaming\\Python\\Python39\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "C:\\Users\\地狱拖拉机\\AppData\\Roaming\\Python\\Python39\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "C:\\Users\\地狱拖拉机\\AppData\\Roaming\\Python\\Python39\\site-packages\\sklearn\\metrics\\_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from xgboost import XGBClassifier\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.metrics import classification_report, confusion_matrix\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Dense\n",
    "from tensorflow.keras.optimizers import Adam\n",
    "\n",
    "# 定义 C4.5 模型\n",
    "class C4_5DecisionTree(DecisionTreeClassifier):\n",
    "    def __init__(self, **kwargs):\n",
    "        super().__init__(criterion='entropy', **kwargs)\n",
    "\n",
    "# 定义神经网络模型\n",
    "def create_neural_network(input_shape):\n",
    "    model = Sequential([\n",
    "        Dense(16, activation='elu', input_shape=input_shape),\n",
    "        Dense(8, activation='relu'),\n",
    "        Dense(1, activation='sigmoid')\n",
    "    ])\n",
    "    optimizer = Adam(0.0001)\n",
    "    model.compile(optimizer=optimizer, loss='binary_crossentropy', metrics=['accuracy'])\n",
    "    return model\n",
    "\n",
    "# 可视化不同训练集大小对模型准确率的影响\n",
    "def visualize_training_size_impact(X, y, X_test, y_test):\n",
    "    train_sizes = np.arange(0.1, 1, 0.1)\n",
    "    model_accuracies = {\n",
    "        \"神经网络\": [],\n",
    "        \"C4.5决策树\": [],\n",
    "        \"支持向量机\": [],\n",
    "        \"XGBoost\": [],\n",
    "        \"逻辑回归\": [],\n",
    "        \"朴素贝叶斯\": []\n",
    "    }\n",
    "\n",
    "    scaler = StandardScaler()\n",
    "\n",
    "    for train_size in train_sizes:\n",
    "        X_train_part, _, y_train_part, _ = train_test_split(X, y, train_size=train_size, random_state=42)\n",
    "        X_train_scaled_part = scaler.fit_transform(X_train_part)\n",
    "        X_test_scaled_part = scaler.transform(X_test)\n",
    "\n",
    "        # 神经网络模型训练\n",
    "        nn_model = create_neural_network((X_train_scaled_part.shape[1],))\n",
    "        nn_history = nn_model.fit(X_train_scaled_part, y_train_part, epochs=10, batch_size=12, validation_data=(X_test_scaled_part, y_test), verbose=0)\n",
    "\n",
    "        # 获取神经网络的准确率\n",
    "        nn_accuracy = nn_history.history['val_accuracy'][-1]\n",
    "        model_accuracies[\"神经网络\"].append(nn_accuracy)\n",
    "\n",
    "        # 其他模型训练\n",
    "        models = {\n",
    "            \"C4.5决策树\": C4_5DecisionTree(),\n",
    "            \"支持向量机\": SVC(),\n",
    "            \"XGBoost\": XGBClassifier(),\n",
    "            \"逻辑回归\": LogisticRegression(),\n",
    "            \"朴素贝叶斯\": GaussianNB()\n",
    "        }\n",
    "\n",
    "        for name, model in models.items():\n",
    "            model.fit(X_train_scaled_part, y_train_part)\n",
    "            model_accuracies[name].append(model.score(X_test_scaled_part, y_test))\n",
    "\n",
    "    # 绘制模型随训练集占比变化的准确率曲线\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    for model_name, accuracies in model_accuracies.items():\n",
    "        plt.plot(train_sizes, accuracies, label=model_name)\n",
    "    plt.legend()\n",
    "    plt.xlabel('训练集占比')\n",
    "    plt.ylabel('准确率')\n",
    "    plt.title('不同模型随训练集占比变化的准确率曲线')\n",
    "    plt.show()\n",
    "\n",
    "# 合并多个模型的分类报告并可视化\n",
    "def visualize_combined_reports(reports, model_names):\n",
    "    df_report_combined = pd.concat(reports, axis=1, keys=model_names)\n",
    "\n",
    "    # 可视化对比分类报告\n",
    "    plt.figure(figsize=(14, 8))\n",
    "    sns.heatmap(df_report_combined.iloc[:-1, :].T, annot=True, cmap='coolwarm')\n",
    "    plt.title('不同模型分类报告对比')\n",
    "    plt.show()\n",
    "\n",
    "# 训练并评估每个模型\n",
    "def evaluate_models(X_train_scaled, y_train, X_test_scaled, y_test):\n",
    "    models = {\n",
    "        \"神经网络\": create_neural_network((X_train_scaled.shape[1],)),\n",
    "        \"C4.5决策树\": C4_5DecisionTree(),\n",
    "        \"支持向量机\": SVC(),\n",
    "        \"XGBoost\": XGBClassifier(),\n",
    "        \"逻辑回归\": LogisticRegression(),\n",
    "        \"朴素贝叶斯\": GaussianNB()\n",
    "    }\n",
    "\n",
    "    reports = []\n",
    "    model_names = []\n",
    "    \n",
    "    for model_name, model in models.items():\n",
    "        if model_name == \"神经网络\":\n",
    "            model.fit(X_train_scaled, y_train, epochs=10, batch_size=12, validation_data=(X_test_scaled, y_test), verbose=0)\n",
    "            y_pred = (model.predict(X_test_scaled) > 0.5).astype(int)\n",
    "        else:\n",
    "            model.fit(X_train_scaled, y_train)\n",
    "            y_pred = model.predict(X_test_scaled)\n",
    "        \n",
    "        # 生成分类报告\n",
    "        report = classification_report(y_test, y_pred, output_dict=True)\n",
    "        reports.append(pd.DataFrame(report).transpose())\n",
    "        model_names.append(model_name)\n",
    "\n",
    "        # 绘制混淆矩阵\n",
    "        cm = confusion_matrix(y_test, y_pred)\n",
    "        plt.figure(figsize=(6, 5))\n",
    "        sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', xticklabels=['负类', '正类'], yticklabels=['负类', '正类'])\n",
    "        plt.title(f'{model_name} 混淆矩阵')\n",
    "        plt.xlabel('预测标签')\n",
    "        plt.ylabel('真实标签')\n",
    "        plt.show()\n",
    "\n",
    "    # 合并并可视化分类报告\n",
    "    visualize_combined_reports(reports, model_names)\n",
    "\n",
    "# 主程序部分\n",
    "if __name__ == \"__main__\":\n",
    "    # 加载数据并处理\n",
    "    # 假设 `cleaned_data` 已经加载并清洗\n",
    "    X = cleaned_data[top_features]\n",
    "    y = cleaned_data[label]\n",
    "\n",
    "    # 划分训练集和测试集\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "    # 标准化特征\n",
    "    scaler = StandardScaler()\n",
    "    X_train_scaled = scaler.fit_transform(X_train)\n",
    "    X_test_scaled = scaler.transform(X_test)\n",
    "\n",
    "    # 可视化训练集占比准确率变化\n",
    "    visualize_training_size_impact(X, y, X_test, y_test)\n",
    "\n",
    "    # 评估模型并可视化分类报告\n",
    "    evaluate_models(X_train_scaled, y_train, X_test_scaled, y_test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9 (py39)",
   "language": "python",
   "name": "py39"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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